The PV_LIB Toolbox provides a set of well-documented functions for simulating the performance of photovoltaic energy systems. Currently there are two distinct versions (pvlib-python and PVILB for Matlab) that differ in both structure and content. Both versions were initially developed at Sandia National Laboratories but have since been offered as open-source software projects and have grown significantly from contributions from an active community of users (see list of papers that cite the packages below).
Download Links:
Documentation Links:
To cite pvlib-python please reference this 2023 Publication of PVLIB in the Journal of Open Source Software:
pvlib python: 2023 project update (3575 downloads)
- Anderson, K., Hansen, C., Holmgren, W., Jensen, A., Mikofski, M., and Driesse, A. “pvlib python: 2023 project update.” Journal of Open Source Software, 8(92), 5994, (2023). https://doi.org/10.21105/joss.05994
2022 (updated February 8, 2022)
- Hu, W, Cervone, G, Merzky, A, Turilli, M, & Jha, S (2022). A New Hourly Dataset for Photovoltaic Energy Production for the Continental USA. Data in Brief, Elsevier, https://www.sciencedirect.com/science/article/pii/S2352340922000361
- Smith, DE, Hughes, MD, & Borca-Tasciuc, DA (2022). Towards a standard approach for annual energy production of concentrator-based building-integrated photovoltaics. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148121018759
- Riaz, MH, Imran, H, Alam, H, Alam, MA, & … (2022). Crop-Specific Optimization of Bifacial PV Arrays for Agrivoltaic Food-Energy Production: The Light-Productivity-Factor Approach. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9674806/
- Yang, D, Wang, W, & Xia, X (2022). A Concise Overview on Solar Resource Assessment and Forecasting. Advances in Atmospheric Sciences, Springer, https://doi.org/10.1007/s00376-021-1372-8
- Wijeratne, WMPU, Samarasinghalage, TI, Yang, RJ, & … (2022). Multi-objective optimisation for building integrated photovoltaics (BIPV) roof projects in early design phase. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261921016998
- Bell, C (2022). Fluids Documentation., media.readthedocs.org, https://media.readthedocs.org/pdf/fluids/latest/fluids.pdf
- Arens, S, Schlüters, S, Hanke, B, Maydell, K von, & … (2022). Multi-unit Japanese auction for device agnostic energy management. International Journal of …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0142061521005895
- Hu, W, Cervone, G, Turilli, M, Merzky, A, & Jha, S (2022). A Scalable Solution for Running Ensemble Simulations for Photovoltaic Energy. arXiv preprint arXiv …, arxiv.org, https://arxiv.org/abs/2201.06962
- Lorenz, E, Guthke, P, Dittmann, A, Holland, N, & … (2022). High resolution measurement network of global horizontal and tilted solar irradiance in southern Germany with a new quality control scheme. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21009828
- Cañadillas-Ramallo, D, Moutaoikil, A, Shephard, LE, & … (2022). The influence of extreme dust events in the current and future 100% renewable power scenarios in Tenerife. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S096014812101733X
- Nespoli, A, Niccolai, A, Ogliari, E, Perego, G, Collino, E, & … (2022). Machine Learning techniques for solar irradiation nowcasting: Cloud type classification forecast through satellite data and imagery. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261921011600
- Romero-Fiances, I, Livera, A, Theristis, M, Makrides, G, & … (2022). Impact of duration and missing data on the long-term photovoltaic degradation rate estimation. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S096014812101404X
- Habte, A (2022). Solar Radiometer Instrumentation Evaluation: Cooperative Research and Development Final Report, CRADA Number CRD-16-00619., osti.gov, https://www.osti.gov/biblio/1841135
- Oh, M, Kim, CK, Kim, B, Yun, C, Kim, JY, Kang, Y, & Kim, HG (2022). Analysis of minute-scale variability for enhanced separation of direct and diffuse solar irradiance components using machine learning algorithms. Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0360544221031704
- Feng, C, Zhang, J, Zhang, W, & Hodge, BM (2022). Convolutional neural networks for intra-hour solar forecasting based on sky image sequences. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261921016639
- Visser, L, AlSkaif, T, & Sark, W van (2022). Operational day-ahead solar power forecasting for aggregated PV systems with a varying spatial distribution. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148121015688
- Brandi, S, Gallo, A, & Capozzoli, A (2022). A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings. Energy Reports, Elsevier, https://www.sciencedirect.com/science/article/pii/S2352484721014979
- Yang, D, Yagli, GM, & Srinivasan, D (2022). Sub-minute probabilistic solar forecasting for real-time stochastic simulations. Renewable and Sustainable Energy …, Elsevier, https://www.sciencedirect.com/science/article/pii/S1364032121010078
- Eggimann, S, Vulic, N, Rüdisüli, M, Mutschler, R, & … (2022). Spatiotemporal upscaling errors of building stock clustering for energy demand simulation. Energy and …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0378778822000159
- Paul, D, Michele, G De, Najafi, B, & Avesani, S (2022). Benchmarking clear sky and transposition models for solar irradiance estimation on vertical planes to facilitate glazed facade design. Energy and Buildings, Elsevier, https://www.sciencedirect.com/science/article/pii/S0378778821009063
- Dab, K, Agbossou, K, Henao, N, Dubé, Y, Kelouwani, S, & … (2022). A compositional kernel based gaussian process approach to day-ahead residential load forecasting. Energy and …, Elsevier, https://www.sciencedirect.com/science/article/pii/S037877882100743X
- Beebe, NHF (2022). A Bibliography of Publications about the Python Scripting and Programming Language., ctan.math.utah.edu.
- Blum, NB, Wilbert, S, Nouri, B, Lezaca, J, Huckebrink, D, & … (2022). Measurement of diffuse and plane of array irradiance by a combination of a pyranometer and an all-sky imager. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21010240
- Zhang, G, Yang, D, Galanis, G, & Androulakis, E (2022). Solar forecasting with hourly updated numerical weather prediction. Renewable and Sustainable …, Elsevier, https://www.sciencedirect.com/science/article/pii/S1364032121010364
2021
- Theristis, M., A. Livera, L. Micheli, J. Ascencio-Vásquez, G. Makrides, G. E. Georghiou and J. S. Stein (2021). “Comparative Analysis of Change-Point Techniques for Nonlinear Photovoltaic Performance Degradation Rate Estimations.” IEEE Journal of Photovoltaics 11(6): 1511-1518.
- Driesse, A., M. Theristis and J. S. Stein (2021). “A New Photovoltaic Module Efficiency Model for Energy Prediction and Rating.” IEEE Journal of Photovoltaics 11(2): 527-534.
- Holmgren, W, Lorenzo, T, Hansen, C, Mikofski, M, Krien, U, & … (2021). pvlib/pvlib-python: v0. 8.1., Jan
- Ransome, S. (2021), VIRTUAL PVPearl Training School Brasov, Romania, http://www.steveransome.com/pubs/2021_07_PVCOST_Romania_Ransome_210706t11tobepresented.pdf
- Khari, S, Ismail, ALİ, Lokman, H, & … (2021). Power loss calculation of Photovoltaics using Python. Computers and …, dergipark.org.tr, https://dergipark.org.tr/en/pub/ci/issue/64530/952567
- Sinha, A, Kumar, A, Tiwari, A, & Yadav, K (2021). Analysis of Combined Effect of Temperature and Wind on Solar Power Production. Renewable Power for Sustainable …, Springer, https://doi.org/10.1007/978-981-33-4080-0_57
- Ziyoitdinova, M (2021). THE ROLE OF PROBABILITY THEORY IN THE MODELING OF SEMICONDUCTOR DEVICES. Deutsche Internationale Zeitschrift für …, cyberleninka.ru, https://cyberleninka.ru/article/n/the-role-of-probability-theory-in-the-modeling-of-semiconductor-devices
- Polo, J, Martín-Chivelet, N, Sanz-Saiz, C, & … (2021). Modeling soiling losses for rooftop PV systems in suburban areas with nearby forest in Madrid. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148121009514
- Ismoilov, U (2021). THE ROLE OF THE PYTHON PROGRAMMING LANGUAGE IN MODELING PHYSICAL PROCESSES. Deutsche Internationale Zeitschrift für zeitgenössische …, cyberleninka.ru, https://cyberleninka.ru/article/n/the-role-of-the-python-programming-language-in-modeling-physical-processes
- Rinio, M (2021). PVcheck—A Software to Check Your Photovoltaic System. Energies, mdpi.com, https://www.mdpi.com/1996-1073/14/20/6757
- Gündogdu, H, & Demirc, A (2021). Performance Comparison of Grey Wolf and Perturb&Observe MPPT Algorithms in Different Weather Conditions. 2021 13th International Conference on …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9677791/
- Sivapriyan, R, Elangovan, D, & Lekhana, KSN (2021). Review of Python for Solar Photovoltaic Systems. Evolutionary Computing and …, Springer, https://doi.org/10.1007/978-981-15-5258-8_12
- Øgaard, MB, Riise, HN, & Selj, JH (2021). Modeling Snow Losses in Photovoltaic Systems. 2021 IEEE 48th Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518886/
- Velosa, N, & Pereira, L (2021). Towards pro-social load balancing in energy communities. Proceedings of the 8th ACM International …, dl.acm.org, https://doi.org/10.1145/3486611.3492235
- Kempe, MD, Holsapple, D, Whitfield, K, & … (2021). Standards development for modules in high temperature micro‐environments. Progress in …, Wiley Online Library, https://doi.org/10.1002/pip.3389
- Mandal, RK, & Kale, PG (2021). Assessment of different multiclass SVM strategies for fault classification in a PV system. Proceedings of the 7th International Conference on …, Springer, https://doi.org/10.1007/978-981-15-5955-6_70
- Jose, S, & Itagi, RL (2021). Data Analytics in Solar Photovoltaics Power Forecasting for Smart Grid Applications. 2021 International Conference on Intelligent …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9498299/
- Fonteijn, R, Nguyen, PH, Morren, J, & Slootweg, JG (2021). Baselining Flexibility from PV on the DSO-Aggregator Interface. Applied Sciences, mdpi.com, https://www.mdpi.com/1018516
- Macías, J, Herrero, R, Núñez, R, & … (2021). On the effect of cell interconnection in Vehicle Integrated Photovoltaics: modelling energy under different scenarios. 2021 IEEE 48th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518935/
- Chen, S, & Li, M (2021). Improved Turbidity Estimation from Local Meteorological Data for Solar Resourcing and Forecasting Applications. Available at SSRN 3946170, papers.ssrn.com, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3946170
- Prinsloo, FC, Schmitz, P, & Lombard, A (2021). Sustainability assessment framework and methodology with trans-disciplinary numerical simulation model for analytical floatovoltaic energy system planning …. Sustainable Energy Technologies and …, Elsevier, https://www.sciencedirect.com/science/article/pii/S2213138821005269
- Florio, P, Peronato, G, Perera, ATD, Blasi, A Di, & … (2021). Designing and assessing solar energy neighborhoods from visual impact. Sustainable Cities and …, Elsevier, https://www.sciencedirect.com/science/article/pii/S2210670721002468
- Hofmann, F, Hampp, J, Neumann, F, Brown, T, & … (2021). Atlite: a lightweight Python package for calculating renewable power potentials and time series. Journal of Open Source …, joss.theoj.org, https://doi.org/10.21105/joss.03294
- Mikofski, MA, & Kharait, R (2021). Comparison of Predicted PV System Performance with SURFRAD versus TMY. 2021 IEEE 48th Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9519024/
- Bright, JM (2021). Introduction to synthetic solar irradiance., aip.scitation.org, https://doi.org/10.1063/9780735421820_001
- Kaaya, I, & Ascencio-Vásquez, J (2021). Photovoltaic Power Forecasting Methods. Solar Radiation-Measurements …, intechopen.com, https://www.intechopen.com/online-first/photovoltaic-power-forecasting-methods
- David, AY, Scott, J, Montgomery, W, & … (2021). Cloud Coverage Prediction to Improve Solar Power Management. …, scholarworks.calstate.edu, https://scholarworks.calstate.edu/downloads/xw42nf32n
- Shuvro, RA, Xiong, J, & Deng, Y (2021). Spectral Correction Model Validation Using Spectroradiometer Measurements for CdTe Modules. 2021 IEEE 48th Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518893/
- Anderson, K, Downs, C, Aneja, S, & … (2021). A Method for Estimating Time-Series PV Production Loss From Solar Tracking Failures. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9627163/
- Øgaard, M, Riise, HN, & Selj, JHK (2021). Estimation of snow loss for photovoltaic plants in Norway. Proceedings of the European …, duo.uio.no, https://www.duo.uio.no/handle/10852/89488
- Comfort, AFOOT (2021). Modelling Perimeter Heating Demand: A Function Of Occupant Thermal Comfort., kpmb.com, https://www.kpmb.com/wp-content/uploads/2021/10/KPMB-LAB_Modelling-Perimeter-Thermal-Energy.pdf
- Øgaard, MB, Aarseth, BL, Skomedal, ÅF, Riise, HN, & … (2021). Identifying snow in photovoltaic monitoring data for improved snow loss modeling and snow detection. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21003868
- Johnson, J, Jencka, L, Ortiz, T, Jones, C, Chavez, A, & … (2021). Design Considerations for Distributed Energy Resource Honeypots and Canaries.., osti.gov, https://www.osti.gov/biblio/1821540
- Noord, M van, Landelius, T, & Andersson, S (2021). Snow-Induced PV Loss Modeling Using Production-Data Inferred PV System Models. Energies, mdpi.com, https://www.mdpi.com/1996-1073/14/6/1574
- Schardt, J, & Heesen, H te (2021). Performance of roof-top PV systems in selected European countries from 2012 to 2019. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21001006
- Montoya, JF Dávila (2021). Diseño y evaluación mediante modelamiento de un sistema solar fotovoltaico comercial., repositorio.uniandes.edu.co, https://repositorio.uniandes.edu.co/handle/1992/51594
- Wright, D, Liu, L, Parvan, L, Majumdar, Z, & … (2021). Economic analysis of a novel design of microtracked concentrating photovoltaic modules. Progress in …, Wiley Online Library, https://doi.org/10.1002/pip.3379
- Anderson, K, Kemnitz, J, & Boyd, M (2021). Evaluating cell temperature models and the effect of wind speed in PV system capacity testing. 2021 IEEE 48th Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9519077/
- Deline, C, Anderson, K, Jordan, D, Walker, A, Desai, J, & … (2021). PV Fleet Performance Data Initiative: Performance Index-Based Analysis., osti.gov, https://www.osti.gov/biblio/1766838
- Nardin, G, Domínguez, C, Aguilar, ÁF, & … (2021). Industrialization of hybrid Si/III–V and translucent planar micro‐tracking modules. Progress in …, Wiley Online Library, https://doi.org/10.1002/pip.3387
- Smith, LD, & Kirschen, DS (2021). Impacts of Time-of-Use Rate Changes on the Electricity Bills of Commercial Consumers. 2021 IEEE Power & Energy Society …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9638125/
- Lyden, A, Flett, G, & Tuohy, PG (2021). PyLESA: A Python modelling tool for planning-level Local, integrated, and smart Energy Systems Analysis. SoftwareX, Elsevier, https://www.sciencedirect.com/science/article/pii/S2352711021000443
- Mendoza, H, Hopwood, M, & … (2021). pvOps: Improving operational assessments through data fusion. 2021 IEEE 48th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518439/
- Choné, T, Richaud, L, Rigal, B, Pellerej, R, & … (2021). New planning tool for Low Voltage photovoltaic connection-large scale experimentation. CIRED 2021-The …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9692730/
- Wang, K, & Clow, GD (2021). Newly collected data across Alaska reveal remarkable biases in solar radiation products. International Journal of Climatology, Wiley Online Library, https://doi.org/10.1002/joc.6634
- Кардаш, ДО, Любименко, ОМ, Кондратенко, ВГ, & … (2021). Дослідження моделі передбачення потужності, що генерується сонячною електростанцією., ea.donntu.edu.ua, http://ea.donntu.edu.ua/bitstream/123456789/33275/1/2074-2630-2021-1-73-76.pdf
- Maghami, I, Sobral, VAL, Morsy, MM, Lach, JC, & … (2021). Exploring the complementary relationship between solar and hydro energy harvesting for self-powered water monitoring in low-light conditions. … Modelling & Software, Elsevier, https://www.sciencedirect.com/science/article/pii/S136481522100075X
- Ernst, M, Conechado, GEJ, & Asselineau, CA (2021). Accelerating the simulation of annual bifacial illumination of real photovoltaic systems with ray tracing. Iscience, Elsevier, https://www.sciencedirect.com/science/article/pii/S2589004221016680
- Westbrook, O (2021). Your P Values Are Wrong. 2021 IEEE 48th Photovoltaic Specialists …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9519076/
- Bacry, E, Soares, D de Barros, Andrieux, F, & … (2021). Predicting the solar potential of rooftops using image segmentation and structured data. NIPS …, hal.archives-ouvertes.fr, https://hal.archives-ouvertes.fr/hal-03438761/file/2106.15268.pdf
- Riise, HN, Øgaard, M, Zhu, J, You, CC, & … (2021). Performance analysis of a BAPV bifacial system in Norway. 2021 IEEE 48th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518963/
- Plessis, AA Du, Strauss, JM, & Rix, AJ (2021). Short-term solar power forecasting: Investigating the ability of deep learning models to capture low-level utility-scale Photovoltaic system behaviour. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261920317657
- Pierce, BG, Braid, JL, Stein, JS, & … (2021). Solar Transposition Modeling via Deep Neural Networks With Sky Images. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9623380/
- Costa, TAC (2021). Sistema de regras para acompanhamento de performance em usinas fotovoltaicas empregando técnicas de aprendizagem de máquina., repositorio.ufc.br, https://repositorio.ufc.br/handle/riufc/61916
- Jost, N, Askins, S, Dixon, R, Ackermann, M, & … (2021). Novel Interconnection Method for Micro-CPV Solar Cells. 2021 IEEE 48th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518837/
- Livera, A, Theristis, M, Koumpli, E, & … (2021). Data processing and quality verification for improved photovoltaic performance and reliability analytics. Progress in …, Wiley Online Library, https://doi.org/10.1002/pip.3349
- Smith, LJ (2021). Power Output Modeling and Optimization for a Single Axis Tracking Solar Farm on Skewed Topography Causing Extensive Shading., digitalcommons.calpoly.edu, https://digitalcommons.calpoly.edu/theses/2293/
- Soares, DB, Andrieux, F, Hell, B, Lenhardt, J, & … (2021). Predicting the solar potential of rooftops using image segmentation and structured data. arXiv preprint arXiv …, arxiv.org, https://arxiv.org/abs/2106.15268
- Larson, DP, & Hobbs, WB (2021). Fleet-Level PV Modeling with Realistic Sub-Hourly Solar Power Variability. 2021 IEEE 48th Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518684/
- Riaz, MH, Imran, H, Younas, R, & … (2021). Module technology for agrivoltaics: vertical bifacial versus tilted monofacial farms. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9330760/
- Patel, MT, Wickramaarachchi, GT, & … (2021). Machine Learning allows Synthesis and Functional Interpolation of Computational and Field-Data for Worldwide Utility-Scale PV Systems. 2021 IEEE 48th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518432/
- Azaioud, H, Knockaert, J, Vandevelde, L, & Desmet, J (2021). RE/SOURCED PILOT PROJECT: DESIGN AND POWER FLOWANALYSIS OF A LVDC BACKBONE WITH HYBRID ENERGY SYSTEM., IET, https://doi.org/10.1049/icp.2021.1737
- Mahdavi, A, Wolosiuk, D, & Berger, C (2021). A bi-directional approach to building-integrated PV systems configuration. Journal of Physics …, iopscience.iop.org, https://doi.org/10.1088/1742-6596/2069/1/012114
- Yao, T, Wang, J, Wu, H, Zhang, P, Li, S, Wang, Y, Chi, X, & … (2021). A photovoltaic power output dataset: Multi-source photovoltaic power output dataset with Python toolkit. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21008070
- Deline, C, Pelaez, SA, Anderson, K, Jordan, D, Perry, K, & … (2021). PV Field Performance Including Fleet and Bifacial Field Data., osti.gov, https://www.osti.gov/biblio/1778188
- Chiodetti, M, Lafont, T, Gherardi, CM, & Radvanyi, E (2021). THE ROAD TOWARDS A 100% RENEWABLE ELECTRICITY MIX IN THE FRENCH ISLAND OF MIQUELON., IET, https://doi.org/10.1049/icp.2021.1754
- Oh, M, Kim, JY, Kim, B, Yun, CY, Kim, CK, Kang, YH, & … (2021). Tolerance angle concept and formula for practical optimal orientation of photovoltaic panels. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148120318486
- Dumlao, SMG, & Ishihara, KN (2021). Weather-Driven Scenario Analysis for Decommissioning Coal Power Plants in High PV Penetration Grids. Energies, mdpi.com, https://www.mdpi.com/1996-1073/14/9/2389
- Routhier, AF, Bowden, SG, Goodnick, SM, & … (2021). What is the LCOE of residential solar+ battery in the face on increasingly complex utility rate plans?. 2021 IEEE 48th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9519070/
- Deline, C, Anderson, K, Jordan, D, & … (2021). Performance Index Assessment for the PV Fleet Performance Data Initiative. 2021 IEEE 48th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518760/
- Voicu, V, Petreus, D, Cebuc, E, & … (2021). An IoT Photovoltaic Sensing System. 2021 20th RoEduNet …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9638286/
- Libralato, M, Angelis, A De, D’Agaro, P, & … (2021). Multiyear hygrothermal performance simulation of historic building envelopes. … Series: Earth and …, iopscience.iop.org, https://doi.org/10.1088/1755-1315/863/1/012045
- Coppitters, D, Paepe, W De, & … (2021). Robust design optimization of a renewable-powered demand with energy storage using imprecise probabilities. E3S Web of …, search.proquest.com, https://search.proquest.com/openview/491a305a63cdc9f19e54496658935319/1?pq-origsite=gscholar&cbl=2040555
- Parikh, A, Perry, K, Anderson, K, & … (2021). Validation of Subhourly Clipping Loss Error Corrections. 2021 IEEE 48th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518564/
- Nair, DS, & Rajeev, T (2021). Investigation on Impact of Solar PV penetration on the Operation of Protective Relays in a Distribution System using Python. 2021 IEEE Conference on Technologies …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9467474/
- Claeys, R, Azaioud, H, & Desmet, J (2021). Peak demand dynamics of low-voltage consumers under aggregation and its impact on upstream PV injection. CIRED 2021-The 26th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9692842/
- Micheli, L, Smestad, GP, Bessa, JG, & … (2021). Tracking Soiling Losses: Assessment, Uncertainty, and Challenges in Mapping. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9576825/
- Meyer, D, Grimmond, S, Dueben, P, Hogan, R, & … (2021). Machine Learning Emulation of Urban Land Surface Processes. arXiv preprint arXiv …, arxiv.org, https://arxiv.org/abs/2112.11429
- Marion, B (2021). Evaluation of clear-sky and satellite-derived irradiance data for determining the degradation of photovoltaic system performance. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21004412
- Mayer, MJ, & Gróf, G (2021). Extensive comparison of physical models for photovoltaic power forecasting. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261920316330
- Scheidt, F vom, Dong, X, Bartos, A, Staudt, P, & … (2021). Probabilistic Forecasting of Household Loads: Effects of Distributed Energy Technologies on Forecast Quality. Proceedings of the …, dl.acm.org, https://doi.org/10.1145/3447555.3464861
- Pimienta, B (2021). Total Electricity Demand Coverage with Solar Energy Systems in La Guajira-Colombia. A techno-economic case study.
- Kazmi, H, Munné-Collado, Í, Mehmood, F, & … (2021). Towards data-driven energy communities: A review of open-source datasets, models and tools. … and Sustainable Energy …, Elsevier, https://www.sciencedirect.com/science/article/pii/S1364032121005773
- Matthiss, B, Momenifarahani, A, & Binder, J (2021). Storage placement and sizing in a distribution grid with high PV generation. Energies, mdpi.com, https://www.mdpi.com/953196
- Kull, T, Zeilmann, B, & Fischerauer, G (2021). PLC implementation of economic model predictive control for scheduling and dispatch in energy systems. ETG Congress 2021, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9469613/
- Гузевич, СН (2021). УСЛОВИЯ ДОСТОВЕРНЫХ ИЗМЕРЕНИЙ В ПРОСТРАНСТВЕ. Deutsche Internationale Zeitschrift für zeitgenössische …, cyberleninka.ru, https://cyberleninka.ru/article/n/usloviya-dostovernyh-izmereniy-v-prostranstve
- Kosmadakis, IE, Elmasides, C, Koulinas, G, & … (2021). Energy unit cost assessment of six photovoltaic-battery configurations. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148121003645
- Kosmadakis, IE, & Elmasides, C (2021). A sizing method for PV–battery–generator systems for off-grid applications based on the LCOE. Energies, mdpi.com, https://www.mdpi.com/1059344
- Salmon, N, & Bañares-Alcántara, R (2021). Impact of grid connectivity on cost and location of green ammonia production: Australia as a case study. Energy & Environmental Science, pubs.rsc.org, https://pubs.rsc.org/en/content/articlehtml/2021/ee/d1ee02582a
- Schmid, F, & Behrendt, F (2021). Optimal sizing of Solar Home Systems: Charge controller technology and its influence on system design. Sustainable Energy Technologies and …, Elsevier, https://www.sciencedirect.com/science/article/pii/S2213138821002083
- Pun, K, Basnet, SMS, & Jewell, W (2021). Solar Power Prediction in Different Forecasting Horizons Using Machine Learning and Time Series Techniques. 2021 IEEE Conference on …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9467464/
- Coppitters, D, Paepe, W De, & Contino, F (2021). Robust design optimization of a photovoltaic-battery-heat pump system with thermal storage under aleatory and epistemic uncertainty. Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0360544221009403
- Timplalexis, C, Bezas, N, Bintoudi, AD, Zyglakis, L, & … (2021). A hybrid physical/statistical day-ahead direct PV forecasting engine., IET, https://doi.org/10.1049/icp.2021.1233
- Bintoudi, AD, Zyglakis, L, Tsolakis, AC, Gkaidatzis, PA, & … (2021). OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life …. Energies, mdpi.com, https://www.mdpi.com/1996-1073/14/10/2752
- Noord, M van, Landelius, T, & Andersson, S (2021). Utveckling av prognosmodeller och–verktyg för snöpåverkan på solelproduktion via fjärrmätning., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1595697
- Zhao, C, Xiao, J, Yu, Y, & Jaubert, JN (2021). Accurate shading factor and mismatch loss analysis of bifacial HSAT systems through ray-tracing modeling. Solar Energy Advances, Elsevier, https://www.sciencedirect.com/science/article/pii/S2667113121000048
- Vivian, J, Zarrella, A, Besagni, G, & … (2021). Experimental tests on the optimal management of all-electric dwellings. Building Simulation 2021 …, re.public.polimi.it, https://re.public.polimi.it/handle/11311/1188780
- Miller, J, & Uludag, S (2021). Energy-Efficiency Framework for Fixed-Wing UAV Communications With Variable Altitude. 2021 IEEE International Conference on …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9473819/
- Gilletly, SD, Jackson, ND, & Staid, A (2021). Quantifying Wildfire-Induced Impacts to Photovoltaic Energy Production in the western United States. 2021 IEEE 48th Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518514/
- Matthiss, B, Momenifarahani, A, & Binder, J (2021). Storage Placement and Sizing in a Distribution Grid with High PV Generation. Energies 2021, 14, 303., search.proquest.com, https://search.proquest.com/openview/317e9e58e619bf084f22a29ba58b17b5/1?pq-origsite=gscholar&cbl=2032402
- Micheli, L, Fernandez, EF, Aguilera, JT, & Almonacid, F (2021). Economics of seasonal photovoltaic soiling and cleaning optimization scenarios. Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0360544220321253
- Khudoynazarov, A (2021). EXPLORING SOLAR CELLS BY PROGRAMMING LANGUAGES AND SSTANDART PROGRAMS. Deutsche Internationale Zeitschrift für …, cyberleninka.ru, https://cyberleninka.ru/article/n/exploring-solar-cells-by-programming-languages-and-sstandart-programs
- Schindler, M, Pfeiffer, C, Millendorfer, M, Rabelhofer, M, & … (2021). An interdisciplinary approach of a local peer-to-peer energy trading model for a more sustainable power grid., people.fh-burgenland.at, https://people.fh-burgenland.at/handle/20.500.11790/1699
- Götz-Köhler, M, Meddeb, H, Gehrke, K, & … (2021). Ultrathin Solar Cell With Magnesium-Based Optical Switching for Window Applications. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9546836/
- Azzolini, JA, & Reno, MJ (2021). The Effects of Inverter Clipping and Curtailment-Inducing Grid Support Functions on PV Planning Decisions. 2021 IEEE 48th Photovoltaic Specialists …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518416/
- Bromley-Dulfano, I, Florez, J, & Craig, MT (2021). Reliability benefits of wide-area renewable energy planning across the Western United States. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148121011009
- Walker, L, Kuhn, A, Hischier, I, & … (2021). Comparing Metrics for Scenario-based Robustness Assessment of Building Performance. Journal of Physics …, iopscience.iop.org, https://doi.org/10.1088/1742-6596/2042/1/012150
- Sneezer, S (2021). Modeling & Optimization of a Renewable Energy Supply Chain with a Focus on Energy Storage., oaktrust.library.tamu.edu, https://oaktrust.library.tamu.edu/handle/1969.1/195151
- Dhyani, A, Pike, C, Braid, JL, Whitney, E, & … (2021). Facilitating Large‐Scale Snow Shedding from In‐Field Solar Arrays using Icephobic Surfaces with Low‐Interfacial Toughness. Advanced Materials …, Wiley Online Library, https://doi.org/10.1002/admt.202101032
- Matsunobu, LM, Pedro, HTC, & Coimbra, CFM (2021). Cloud detection using convolutional neural networks on remote sensing images. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21009294
- Song, Z, Liu, J, & Yang, H (2021). Air pollution and soiling implications for solar photovoltaic power generation: A comprehensive review. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S030626192100667X
- Simeunovic, J, Schubnel, B, Alet, PJ, & … (2021). Spatio-temporal graph neural networks for multi-site PV power forecasting. IEEE Transactions on …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9601234/
- Мовчанюк, ОМ (2021). ВИГОТОВЛЕННЯ ПЛОСКИХ АЦЕТАТЦЕЛЮЛОЗНИХ МЕМБРАН. Deutsche Internationale Zeitschrift für …, cyberleninka.ru, https://cyberleninka.ru/article/n/vigotovlennya-ploskih-atsetattselyuloznih-membran
- Yu, Z, Yang, Z, Frank, F, Rao, H, & Song, W Wie (2021). Power Generation Prediction of Residential Photovoltaic Equipment Based on Online Transfer Learning Model-A Case Study of a Residential Solar Power System. 2021 4th International …, dl.acm.org, https://doi.org/10.1145/3490322.3490332
- Peinado-Guerrero, MA, Villalobos, JR, Phelan, PE, & … (2021). Stochastic framework for peak demand reduction opportunities with solar energy for manufacturing facilities. Journal of Cleaner …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0959652621021090
- Smith, T, Rheinwalt, A, & Bookhagen, B (2021). Topography and climate in the upper Indus Basin: Mapping elevation-snow cover relationships. Science of The Total Environment, Elsevier, https://www.sciencedirect.com/science/article/pii/S0048969721024347
- Holweger, J (2021). Flexibility for large-scale deployment of PV systems in low-voltage grids., infoscience.epfl.ch, https://infoscience.epfl.ch/record/287073
- Micheli, L, Fernández, EF, & Almonacid, F (2021). Photovoltaic cleaning optimization through the analysis of historical time series of environmental parameters. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21007465
- Masson, TM, Zondag, SDA, Kuijpers, KPL, & … (2021). Development of an Off‐Grid Solar‐Powered Autonomous Chemical Mini‐Plant for Producing Fine Chemicals. …, Wiley Online Library, https://doi.org/10.1002/cssc.202102011
- Cavadini, GB, & Cook, LM (2021). Green and cool roof choices integrated into rooftop solar energy modelling. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261921005341
- Brown, J, Abate, A, & Rogers, A (2021). Disaggregation of household solar energy generation using censored smart meter data. Energy and Buildings, Elsevier, https://www.sciencedirect.com/science/article/pii/S0378778820334034
- Leitão, J, Fonseca, CM, Gil, P, Ribeiro, B, & … (2021). A Compressive Receding Horizon Approach for Smart Home Energy Management. IEEE Access, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9467369/
- Braga, M (2021). Nataly Horner Hoe de Castro., researchgate.net, https://www.researchgate.net/profile/Nataly-Horner/publication/357836358_MASTER_THESIS_NATALY_HORNER_final_version/links/61e1df845779d35951abe4fc/MASTER-THESIS-NATALY-HORNER-final-version.pdf
- Fairbrother, A, Quest, H, Özkalay, E, Wälchli, P, & … (2021). Long‐Term Performance and Shade Detection in Building Integrated Photovoltaic Systems. Solar Rrl, Wiley Online Library, https://doi.org/10.1002/solr.202100583
- Ansari, D, & Hoffmann, MM (2021). Simulating the potential of swarm grids for pre-electrified communities–A case study from Yemen., d-nb.info, https://d-nb.info/123859882X/34
- Merema, B, Carton, Q, Saelens, D, & … (2021). Implementation of MPC for an all-air system in an educational building. E3S Web of …, e3s-conferences.org, https://www.e3s-conferences.org/articles/e3sconf/abs/2021/22/e3sconf_hvac2021_11007/e3sconf_hvac2021_11007.html
- Αλεξάκος, Α (2021). Πρόβλεψη παραγωγής ενέργειας και ανίχνευση βλαβών σε φωτοβολταϊκά πάρκα., nemertes.library.upatras.gr, http://nemertes.library.upatras.gr/jspui/handle/10889/15580
- Liu, Z, Romagnoli, A, Sapin, P, & … (2021). Dynamic control strategies for a solar-ORC system using first-law dynamic and data-driven machine learning models. Proceedings of the …, mediatum.ub.tum.de, https://mediatum.ub.tum.de/doc/1633138/1633138.pdf
- Khan, MR, Patel, MT, Asadpour, R, Imran, H, & … (2021). A review of next generation bifacial solar farms: predictive modeling of energy yield, economics, and reliability. Journal of Physics D …, iopscience.iop.org, https://doi.org/10.1088/1361-6463/abfce5
- Micheli, L (2021). Energy and economic assessment of floating photovoltaics in Spanish reservoirs: cost competitiveness and the role of temperature. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21007222
- Kumar, R, Rajoria, CS, Sharma, A, & Suhag, S (2021). Design and simulation of standalone solar PV system using PVsyst Software: A case study. Materials Today: Proceedings, Elsevier, https://www.sciencedirect.com/science/article/pii/S2214785320366700
- Mathiesen, P, Stadler, M, Kleissl, J, & Pecenak, Z (2021). Techno-economic optimization of islanded microgrids considering intra-hour variability. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261921011144
- David, CG, Kohl, N, Casella, E, Rovere, A, Ballesteros, P, & … (2021). Structure-from-Motion on shallow reefs and beaches: potential and limitations of consumer-grade drones to reconstruct topography and bathymetry. Coral Reefs, Springer, https://doi.org/10.1007/s00338-021-02088-9
- Woude, MR van der (2021). An exploratory study on the integration of a renewable-powered electrolyser in a local energy system.
- Li, Y, Song, L, Zhang, S, Kraus, L, Adcox, T, & … (2021). A TCN-based Spatial-Temporal PV Forecasting Framework with Automated Detector Network Selection. arXiv preprint arXiv …, arxiv.org, https://arxiv.org/abs/2111.08809
- Driesse, A, Gotseff, P, & Sengupta, M (2021). PV Reference Cells for Outdoor Use: An Investigation of Calibration Factors; March 26, 2019-July 31, 2021., osti.gov, https://www.osti.gov/biblio/1823768
- Villena, MM de, Gautier, A, Ernst, D, Glavic, M, & … (2021). Modelling and assessing the impact of the DSO remuneration strategy on its interaction with electricity users. International Journal of …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0142061520321542
- Ghotge, R, Wijk, A van, & Lukszo, Z (2021). Off-grid solar charging of electric vehicles at long-term parking locations. Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0360544221006058
- Radet, H, Roboam, X, Sareni, B, & … (2021). A multi-stage design framework for the investment and operation of a simple microgrid: a comprehensive approach. Symposium du Génie …, hal.archives-ouvertes.fr, https://hal.archives-ouvertes.fr/hal-03294283/
- Eig, PYD van (2021). End-user economics of PV-coupled residential battery systems in the Netherlands.
- Ranalli, J, & Peerlings, EEM (2021). Cloud advection model of solar irradiance smoothing by spatial aggregation. Journal of Renewable and Sustainable …, aip.scitation.org, https://doi.org/10.1063/5.0050428
- Huva, R, Song, G, Zhong, X, & … (2021). Comprehensive physics testing and adaptive weather research and forecasting physics for day‐ahead solar forecasting. Meteorological …, Wiley Online Library, https://doi.org/10.1002/met.2017
- Braat, M, Tsafarakis, O, Lampropoulos, I, Besseling, J, & … (2021). Cost-Effective Increase of Photovoltaic Electricity Feed-In on Congested Transmission Lines: A Case Study of The Netherlands. Energies, mdpi.com, https://www.mdpi.com/1996-1073/14/10/2868
- Merema, B, Saelens, D, & Breesch, H (2021). Analysing modelling challenges of smart controlled ventilation systems in educational buildings. Journal of Building …, Taylor & Francis, https://doi.org/10.1080/19401493.2020.1867639
- Julien, S, Sajadi, A, & Hodge, BM (2021). Hierarchical Control of Utility-Scale Solar PV Plants for Mitigation of Generation Variability and Ancillary Service Provision. arXiv preprint arXiv:2107.00160, arxiv.org, https://arxiv.org/abs/2107.00160
- Martinez, B, & Vilajosana, X (2021). Exploiting the Solar Energy Surplus for Edge Computing. IEEE Transactions on Sustainable …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9352548/
- Yang, D, Li, W, Yagli, GM, & Srinivasan, D (2021). Operational solar forecasting for grid integration: Standards, challenges, and outlook. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21002826
- Čus, P (2021). Strujno-naponska karakterizacija solarnih ćelija., repozitorij.pmf.unizg.hr, https://repozitorij.pmf.unizg.hr/islandora/object/pmf:10232
- Hashemi, B, Taheri, S, & Cretu, AM (2021). Systematic Analysis and Computational Intelligence Based Modeling of Photovoltaic Power Generation in Snow Conditions. IEEE Journal of Photovoltaics, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9616374/
- Micheli, L, Fernández, EF, & … (2021). Analysis and mitigation of nonuniform soiling distribution on utility‐scale photovoltaic systems. Progress in …, Wiley Online Library, https://doi.org/10.1002/pip.3477
- Lindig, S, Moser, D, Curran, AJ, Rath, K, & … (2021). International collaboration framework for the calculation of performance loss rates: Data quality, benchmarks, and trends (towards a uniform methodology). Progress in …, Wiley Online Library, https://doi.org/10.1002/pip.3397
- Ransome, S, & Sutterlueti, J (2021). Accurate module performance characterisation using novel outdoor matrix methods. 2021 IEEE 48th Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9518849/
- Martinez, S, Machard, A, Pellegrino, A, Touili, K, & … (2021). A practical approach to the evaluation of local urban overheating–A coastal city case-study. Energy and …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0378778821008069
- Danner, P, & Meer, H de (2021). Location and solar system parameter extraction from power measurement time series. Energy Informatics, Springer, https://doi.org/10.1186/s42162-021-00176-2
- Pfeifer, P, Tran, J, Fendri, A, Krahl, S, & … (2021). Accuracy of load and generation forecasts for the operational planning of power distribution systems. CIRED 2021-The …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9692151/
- David, M, Boland, J, Cirocco, L, Lauret, P, & Voyant, C (2021). Value of deterministic day-ahead forecasts of PV generation in PV+ Storage operation for the Australian electricity market. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21004862
- Patel, MT (2021). SYSTEM-LEVEL PERFORMANCE AND RELIABILITY OF SOLAR PHOTOVOLTAIC FARMS: LOOKING AHEAD AND BACK., hammer.purdue.edu, https://hammer.purdue.edu/articles/thesis/SYSTEM-LEVEL_PERFORMANCE_AND_RELIABILITY_OF_SOLAR_PHOTOVOLTAIC_FARMS_LOOKING_AHEAD_AND_BACK/17131502/1/files/31682171.pdf
- Dimara, A, Triantafyllidis, D, Krinidis, S, & … (2021). District energy optimization based on mlp simulation. 2021 IEEE 11th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9375990/
- Lewis, C, Strauss, JM, & Rix, AJ (2021). A solar resource classification algorithm for global horizontal irradiance time series based on frequency domain analysis. Journal of Renewable and …, aip.scitation.org, https://doi.org/10.1063/5.0045032
- Hoog, J De, Perera, M, Ilfrich, P, & … (2021). Characteristic profile: improved solar power forecasting using seasonality models. ACM SIGENERGY Energy …, dl.acm.org, https://doi.org/10.1145/3508467.3508476
- Kakodkar, R (2021). An Integrated Framework and Software Prototype for Multi-scale Energy Systems Engineering., oaktrust.library.tamu.edu, https://oaktrust.library.tamu.edu/handle/1969.1/195121
- Yuan, H, Tang, G, Guo, D, Wu, K, Shao, X, Yu, K, & … (2021). BESS Aided Reconfigurable Energy Supply using Deep Reinforcement Learning for 5G and Beyond. arXiv preprint arXiv …, arxiv.org, https://arxiv.org/abs/2108.06091
- Liu, X, Hua, Y, Liu, X, Yang, L, & … (2021). Design and Implementation of Smooth Renewable Power in Cloud Data Centers. IEEE Transactions on …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9420320/
- Singh, R, Hines, PD, Howerter, SE, & Reilly, JT (2021). Beyond DERMS: Platform Development, Flexibility, Prediction, and Value Measurements., osti.gov, https://www.osti.gov/biblio/1825329
- Sendner, FM (2021). Towards Energy-Autonomous Unmanned Aerial System: A Bionic Approach on Solar-Electric, Multi-Vehicle Aerial Platforms for Waterborne Operations. IOP Conference Series: Materials Science and …, iopscience.iop.org, https://doi.org/10.1088/1757-899X/1024/1/012055
- Nygren, A, & Sundström, E (2021). Modelling bifacial photovoltaic systems: Evaluating the albedo impact on bifacial PV systems based on case studies in Denver, USA and Västerås, Sweden., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1572661
- Kull, T, Zeilmann, B, & Fischerauer, G (2021). Field-ready implementation of linear economic model predictive control for microgrid dispatch in small and medium enterprises. Energies, mdpi.com, https://www.mdpi.com/1996-1073/14/13/3921
- Devi, AS, Maragatham, G, Boopathi, K, & … (2021). Short-term solar power forecasting using satellite images. International Journal …, inderscienceonline.com, https://doi.org/10.1504/IJPT.2021.117457
- Arens, S, Schlueters, S, Hanke, B, & … (2021). Device Type Independent Energy Management of Sector-Coupled Residential Energy Systems. … 2021; Conference on …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9698260/
- Viduruwan, G, & Induranga, DKA (2021). Validation of Meteonorm 8 for energy estimation of Solar Power Plants in Sri Lanka, Using PVsyst Software. 2021 3rd International …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9580960/
- Krapf, S, Kemmerzell, N, Uddin, S Khawaja Haseeb, & … (2021). Towards Scalable Economic Photovoltaic Potential Analysis Using Aerial Images and Deep Learning. Energies, mdpi.com, https://www.mdpi.com/1162650
- Azaioud, H, Claeys, R, Knockaert, J, Vandevelde, L, & … (2021). A Low-Voltage DC Backbone with Aggregated RES and BESS: Benefits Compared to a Traditional Low-Voltage AC System. Energies, mdpi.com, https://www.mdpi.com/1021384
- Lin, ASJ, Monson, A, Mahadevan, S, Ninan, JP, & … (2021). Observing the Sun as a star: Design and early results from the NEID solar feed. arXiv preprint arXiv …, arxiv.org, https://arxiv.org/abs/2112.05711
- Kim, T, & Kim, J (2021). A Regional Day-Ahead Rooftop Photovoltaic Generation Forecasting Model Considering Unauthorized Photovoltaic Installation. Energies, mdpi.com, https://www.mdpi.com/1188798
- Hofer, D (2021). Proactive Energy Management Through Forecasting in Off-Grid Homes/eingereicht von Daniel Hofer., epub.jku.at, https://epub.jku.at/obvulihs/id/6809982
- Polo, J, Martín-Chivelet, N, Alonso-Abella, M, & … (2021). Photovoltaic generation on vertical façades in urban context from open satellite-derived solar resource data. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21005806
- Waller, R (2021). Explorations in the Food-Energy Nexus: Organic Photovoltaics Applications to Greenhouse Crop Production Systems., search.proquest.com, https://search.proquest.com/openview/7f29732357c781c451db04a8d8bb41fc/1?pq-origsite=gscholar&cbl=18750&diss=y
- Villegas-Mier, CG, Rodriguez-Resendiz, J, & … (2021). Artificial neural networks in MPPT algorithms for optimization of photovoltaic power systems: A review. Micromachines, mdpi.com, https://www.mdpi.com/2072-666X/12/10/1260
- Buresh, K (2021). Impacts of electric vehicle charging in South Africa and photovoltaic carports as a mitigation technique., scholar.sun.ac.za, http://scholar.sun.ac.za/handle/10019.1/109807
- Groissböck, M (2021). Energy hub optimization framework based on open-source software & data-review of frameworks and a concept for districts & industrial parks. International Journal of Sustainable Energy Planning …, 130.225.53.24.
- Ascencio-Vásquez, J, Osorio-Aravena, JC, Brecl, K, & … (2021). Typical Daily Profiles, a novel approach for photovoltaics performance assessment: Case study on large-scale systems in Chile. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21005764
- Garreau, E, Abdelouadoud, Y, Herrera, E, Keilholz, W, & … (2021). District MOdeller and SIMulator (DIMOSIM)–A dynamic simulation platform based on a bottom-up approach for district and territory energetic assessment. Energy and …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0378778821006381
- Tina, GM, Ventura, C, Ferlito, S, & Vito, S De (2021). A state-of-art-review on machine-learning based methods for PV. Applied Sciences, mdpi.com, https://www.mdpi.com/1232264
- Barta, G, Pasztor, B, & Prava, V (2021). Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction. Energies, mdpi.com, https://www.mdpi.com/1996-1073/14/22/7794
- French, RH, Bruckman, LS, Moser, D, Lindig, E, & … (2021). Assessment of Performance Loss Rate of PV Power Systems., dspace.library.uu.nl, https://dspace.library.uu.nl/bitstream/handle/1874/415412/IEA_PVPS_T13_22_2021_Assessment_of_Performance_Loss_Rate_of_PV_Power_Systems_report.pdf?sequence=1
- Rayati, M, Falco, PD, Proto, D, Bozorg, M, & Carpita, M (2021). Generation data of synthetic high frequency solar irradiance for data-driven decision-making in electrical distribution grids. Energies, mdpi.com, https://www.mdpi.com/1996-1073/14/16/4734
- Song, G, Huva, R, Xing, Y, & Zhong, X (2021). WRF Model Moisture Adjustment Method: A Case Study with Wintertime Cloudy Biases in Xinjiang, China. Weather and Forecasting, journals.ametsoc.org, https://journals.ametsoc.org/view/journals/wefo/36/2/WAF-D-20-0117.1.xml
- Pawluk, RE, Rezvanpour, M, Chen, Y, & She, Y (2021). A sensitivity analysis on effective parameters for sliding/melting prediction of snow cover on solar photovoltaic panels. Cold Regions Science and …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0165232X21000434
- Stein, J, Reise, C, Friesen, G, Maugeri, G, Urrejola, E, & … (2021). Bifacial Photovoltaic Modules and Systems: Experience and Results from International Research and Pilot Applications.., osti.gov, https://www.osti.gov/servlets/purl/1779379
- Yu, MG, & Pavlak, G (2021). Assessing the Value of Uncertainty-Aware Transactive Control Framework for Commercial and Residential Buildings., docs.lib.purdue.edu, https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1379&context=ihpbc
- Miller, J (2021). Evaluation of Direct Search Algorithms to Trajectory Optimization for a Perpetually Flying Fixed-Wing Solar UAV Providing Network Coverage., search.proquest.com, https://search.proquest.com/openview/7c74c4f88a2f5ac8ebf5fdeb7dcd9b74/1?pq-origsite=gscholar&cbl=18750&diss=y
- Sendner, FM (2021). An energy-autonomous UAV swarm concept to support sea-rescue and maritime patrol missions in the Mediterranean sea. Aircraft Engineering and Aerospace Technology, emerald.com, https://doi.org/10.1108/AEAT-12-2020-0316
- Mallapragada, DS, Junge, C, Wang, CX, Pfeifenberger, J, & … (2021). Electricity Price Distributions in Future Renewables-Dominant Power Grids and Policy Implications., nber.org, https://www.nber.org/papers/w29510
- Polleux, L, Schuhler, T, Guerassimoff, G, Marmorat, JP, & … (2021). On the relationship between battery power capacity sizing and solar variability scenarios for industrial off-grid power plants. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261921009314
- Keeratimahat, K, Copper, J, Bruce, A, & … (2021). Generation of synthetic 4 s utility-scale PV output time series from hourly solar irradiance data. Journal of Renewable …, aip.scitation.org, https://doi.org/10.1063/5.0033855
- Lefranc, O (2021). Développement d’un outil de conception de micro-réseaux énergétiques mixtes électricité/hydrogène: prise en compte de l’impact écologique par analyse de cycle de .
- Balderrama, S, Lombardi, F, Stevanato, N, Peña, G, & … (2021). Surrogate models for rural energy planning: Application to Bolivian lowlands isolated communities. Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0360544221013566
- Bruche, S (2021). Optimierung der Konfigurationen von Fernwärmeversorgungsanlagen unter Berücksichtigung der Einsatzpläne., depositonce.tu-berlin.de.
- O’Donnel, ET (2021). A Comparison of the Performance and Degradation of the c-Si and a-Si Photovoltaic Systems on the NCSU Solar House., search.proquest.com, https://search.proquest.com/openview/f7906e0ae72fc21f48f14929cdcf56c0/1?pq-origsite=gscholar&cbl=18750&diss=y
- Björklund, M (2021). Simulation Tool for Design of Multiple Photovoltaic Systems: Estimation of System Sizes, Grid Interaction, and Area Requirements., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1578124
- Gualteros, S, & Rousse, DR (2021). Solar water pumping systems: A tool to assist in sizing and optimization. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X21005387
- Stid, JT (2021). Detection and Assessment of Food, Energy, and Water Impacts of Solar Photovoltaic Co-Location in the California’s Central Valley., search.proquest.com, https://search.proquest.com/openview/0c2d284527d373371e0d7c8876eddd61/1?pq-origsite=gscholar&cbl=18750&diss=y
- Mabasa, B, Lysko, MD, & Moloi, SJ (2021). Validating Hourly Satellite Based and Reanalysis Based Global Horizontal Irradiance Datasets over South Africa. Geomatics, mdpi.com, https://www.mdpi.com/2673-7418/1/4/25
- Mabasa, B, Lysko, MD, Tazvinga, H, Zwane, N, & Moloi, SJ (2021). The performance assessment of six global horizontal irradiance clear sky models in six climatological regions in South Africa. Energies, mdpi.com, https://www.mdpi.com/1094838
- Bansal, AS, Bansal, T, & Irwin, D (2021). A Moment in the Sun: Solar Nowcasting from Multispectral Satellite Data using Self-Supervised Learning. arXiv preprint arXiv:2112.13974, arxiv.org, https://arxiv.org/abs/2112.13974
- Selga, A Gili (2021). Modelling photovoltaic system for a home energy management control., upcommons.upc.edu, https://upcommons.upc.edu/handle/2117/344904
- Pillot, B, Al-Kurdi, N, Gervet, C, & Linguet, L (2021). Optimizing operational costs and PV production at utility scale: An optical fiber network analogy for solar park clustering. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261921005912
- Bruck, A, Ruano, S Díaz, & Auer, H (2021). A Critical Perspective on Positive Energy Districts in Climatically Favoured Regions: An Open-Source Modelling Approach Disclosing Implications and Possibilities. Energies, mdpi.com, https://www.mdpi.com/1996-1073/14/16/4864
- Mabasa, B, Lysko, MD, & Moloi, SJ (2021). Validating hourly satellite based and reanalysis based global horizontal irradiance datasets over South Africa. Geomatics 2021, 1, Firstpage–Lastpage., researchgate.net, https://www.researchgate.net/profile/Brighton-Mabasa/publication/355983262_Validating_Hourly_Satellite_Based_and_Reanalysis_Based_Global_Horizontal_Irradiance_Datasets_over_South_Africa/links/618a02f807be5f31b75b611f/Validating-Hourly-Satellite-Based-and-Reanalysis-Based-Global-Horizontal-Irradiance-Datasets-over-South-Africa.pdf
- Feng, M, Bashir, N, Shenoy, P, Irwin, D, & … (2021). Model-driven Per-panel Solar Anomaly Detection for Residential Arrays. ACM Transactions on …, dl.acm.org, https://doi.org/10.1145/3460236
- Murphy, CA, Schleifer, A, & Eurek, K (2021). A taxonomy of systems that combine utility-scale renewable energy and energy storage technologies. Renewable and Sustainable Energy …, Elsevier, https://www.sciencedirect.com/science/article/pii/S1364032121000083
- Deng, Y (2021). Investigating Occupants’ Hold Behaviours on Smart Thermostats using Data Mining and Machine Learning., search.proquest.com, https://search.proquest.com/openview/b02fcb88a4ed28129b0c3dd0a774987a/1?pq-origsite=gscholar&cbl=18750&diss=y
- Laaksonlaita, T (2021). Modelling, Identification and Control of a Renewable Hydrogen Production System for Mobility Application., research-collection.ethz.ch, https://www.research-collection.ethz.ch/handle/20.500.11850/484976
- Coimbra, C, & Pedro, H (2021). HAIMOS Ensemble Forecasts for Intra-Day and Day-Ahead GHI, DNI and Ramps., osti.gov, https://www.osti.gov/biblio/1837014
- Ledesma, G, Pons-Valladares, O, & Nikolic, J (2021). Real-reference buildings for urban energy modelling: A multistage validation and diversification approach. Building and Environment, Elsevier, https://www.sciencedirect.com/science/article/pii/S0360132321004601
- Rincon, JM Triana (2021). SEGUIMIENTO SOLAR PARA UN SISTEMA FOTOVOLTAICO DE PEQUEÑA ESCALA., repositorio.uniandes.edu.co, https://repositorio.uniandes.edu.co/handle/1992/53880
- Stadler, K (2021). Incorporating Metadata Into the Active Learning Cycle for 2D Object Detection., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1616677
- Vliet, L Van (2021). Twenty-first century wind and solar energy potential in northern Canada., dspace.library.uvic.ca, http://dspace.library.uvic.ca/handle/1828/13324
- Hu, W (2021). Uncertainty Quantification for Photovoltaic Energy Production Using Analog Ensemble., search.proquest.com, https://search.proquest.com/openview/f49fe274e4c514a5ed6aec7f30be07ab/1?pq-origsite=gscholar&cbl=18750&diss=y
- Ghosh, R (2021). Data-Driven Stochastic Reliability Assessment of the US Electricity Grid Under Large Penetration of Variable Renewable Energy Resources., search.proquest.com, https://search.proquest.com/openview/58144455fbd28a071dec50a7e5480759/1?pq-origsite=gscholar&cbl=18750&diss=y
- Merema, B, & Saelens, D (2021). MPC framework for all-air systems in non-residential buildings., lirias.kuleuven.be, https://lirias.kuleuven.be/retrieve/637263
- Plessis, A Du (2021). Short-term power output forecasting for large multi-megawatt photovoltaic systems with an aggregated low-level forecasting methodology., scholar.sun.ac.za, https://scholar.sun.ac.za/bitstream/handle/10019.1/109884/duplessis_power_2021.pdf?sequence=1
- Basulto, GA Farias (2021). CIGSSe thin film photovoltaic yield improvement for operating conditions.
2020
- Ransome, S. (2020). “How to use the Loss Factors and Mechanistic Performance Models effectively with PVPMC/PVLIB”, PVPMC Webinar on PV Performance Modeling Methods,
https://pvpmc.sandia.gov/download/7879/ - Ильичев, ВЮ, & Юрик, ЕА (2020). расчЁт характеристик соЛНечНЫх ЭЛектростаНЦиЙ с приМеНеНиеМ проГраММНоГо МоДуЛЯ PVLIB. Научное обозрение. Технические науки, elibrary.ru, https://elibrary.ru/item.asp?id=44585467
- Carballo, A González (2020). Modelado y análisis del recurso solar disponible en la superficie de un vehículo con la librería PVLIB-Python., oa.upm.es, https://oa.upm.es/id/eprint/63249
- Nicolás-Martín, C, Eleftheriadis, P, & Santos-Martín, D (2020). Validation and self-shading enhancement for SoL: A photovoltaic estimation model. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X20303455
- Curran, AJ, Burleyson, TL, Rath, K, Xin, AS, & … (2020). Pvplr: R package implementation of multiple filters and algorithms for time-series performance loss rate analysis. 2020 47th IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300807/
- Shultz, W, Rajakaruna, M, Hites, Z, Keita, S, & … (2020). Computation of Solar Reflections from Photovoltaic Arrays. 2020 47th IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300656/
- Pelaez, S Ayala, & Deline, C (2020). pySMARTS: SMARTS Python Wrapper (Simple Model of the Atmospheric Radiative Transfer of Sunshine)., osti.gov, https://www.osti.gov/biblio/1813558
- Heusinger, J, Broadbent, AM, Sailor, DJ, & Georgescu, M (2020). Introduction, evaluation and application of an energy balance model for photovoltaic modules. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X19311454
- Kallio-Myers, V, Riihelä, A, Lahtinen, P, & Lindfors, A (2020). Global horizontal irradiance forecast for Finland based on geostationary weather satellite data. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X20300141
- Guerrero, F Tamayo (2020). Modelamiento de un sistema solar fotovoltaico a nivel utility., repositorio.uniandes.edu.co, https://repositorio.uniandes.edu.co/handle/1992/51620
- Ransome, S (2020). Improvements to the IEC 61853 matrix energy rating methodology, validated with the NREL dataset. 2020 47th IEEE Photovoltaic Specialists …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300683/
- Grubbs, EK, Imran, H, Agrawal, R, & … (2020). Coproduction of solar energy on maize farms—experimental validation of recent experiments. 2020 47th IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300459/
- Stein, J (2020). 2020 Q3 Project Report: PV Performance Modeling and Stakeholder Engagement.., osti.gov, https://www.osti.gov/servlets/purl/1647906
- Anderson, K (2020). Maximizing yield with improved single-axis backtracking on cross-axis slopes. 2020 47th IEEE Photovoltaic Specialists …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300438/
- Patel, SS, & Rix, AJ (2020). The impact of water surface albedo on incident solar insolation of a collector surface. 2020 International SAUPEC/RobMech …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9041116/
- Ospina-Metaute, CC, Betancur, E, & … (2020). Optimization of the orientation of vertical surfaces based on geographic parameters for solar energy harvesting. Workshop on …, Springer, https://doi.org/10.1007/978-3-030-61834-6_39
- Hansen, C, Jordan, D, Deceglie, M, Gunda, T, & … (2020). Data Cleaning for Degradation Analyses.., osti.gov, https://www.osti.gov/servlets/purl/1821842
- Li, X, Mauzerall, DL, & Bergin, MH (2020). Global reduction of solar power generation efficiency due to aerosols and panel soiling. Nature Sustainability, nature.com, https://www.nature.com/articles/s41893-020-0553-2
- Oh, S, Figgis, BW, & Rashkeev, S (2020). Effects of thermophoresis on dust accumulation on solar panels. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X20310069
- Lunel, TR, & Rousse, DR (2020). pvpumpingsystem: A Python package for modeling and sizing photovoltaic water pumping systems. Journal of Open Source Software, joss.theoj.org, https://doi.org/10.21105/joss.02637
- Salani, M, Derboni, M, Rivola, D, & … (2020). Non intrusive load monitoring for demand side management. Energy …, energyinformatics.springeropen.com, https://doi.org/10.1186/s42162-020-00128-2
- Adler, SW, Wiig, MS, Skomedal, Å, & … (2020). Degradation analysis of utility-scale PV plants in different climate zones. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9305229/
- Landman, C, & Rix, AJ (2020). Using cloud cover forecasts for estimating a solar powered vehicles’ range. 2020 International SAUPEC/RobMech …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9041040/
- Rinio, M (2020). PVCheck., pvcheck.hotell.kau.se.
- Fregosi, D, Bolen, M, & Paudyal, B (2020). Analysis of Variability in Calculated Performance Loss Rates of Large-Scale PV Plants. 2020 47th IEEE Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300710/
- Marion, B (2020). Clear Sky Irradiance Year-to-Year Variations and Trends. 2020 47th IEEE Photovoltaic Specialists Conference …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300858/
- Fregosi, D, Libby, C, Smith, M, & … (2020). Guidance on PV Module Replacement. 2020 47th IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300867/
- Ramde, EW, Rummeny, S, Schneiders, T, & … (2020). Planning of sustainable and stable micro grids for Ghanaian hospitals with photovoltaics., researchgate.net, https://www.researchgate.net/profile/Silvan-Rummeny/publication/355477173_Planning_of_sustainable_and_stable_micro_grids_for_Ghanaian_hospitals_with_photovoltaics/links/6172b9b60be8ec17a90e24e4/Planning-of-sustainable-and-stable-micro-grids-for-Ghanaian-hospitals-with-photovoltaics.pdf
- Theristis, M, Livera, A, Micheli, L, & … (2020). Modeling nonlinear photovoltaic degradation rates. 2020 47th IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300388/
- Aissaoui, A, Belhaouas, N, Hadjrioua, F, Bakria, K, & … (2020). Parameter Extraction of Two-Diode Solar PV Model Using ANN–GA Approach. … Conference in Artificial …, Springer, https://doi.org/10.1007/978-3-030-63846-7_56
- Sreenath, S, Sudhakar, K, Yusop, AF, Solomin, E, & … (2020). Energy Reports.
- Alvarado-M, JF, Betancur, E, & … (2020). Optimization of Single-Axis Discrete Solar Tracking. 2020 9th International …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9242726/
- Theristis, M, Livera, A, Jones, CB, & … (2020). Nonlinear photovoltaic degradation rates: Modeling and comparison against conventional methods. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9095267/
- Pelaez, SA, & Deline, C (2020). Bifacial_radiance: a python package for modeling bifacial solar photovoltaic systems. Journal of Open Source Software, joss.theoj.org, https://doi.org/10.21105/joss.01865
- Anderson, K, & Perry, K (2020). Estimating Subhourly Inverter Clipping Loss From Satellite-Derived Irradiance Data. 2020 47th IEEE Photovoltaic Specialists …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300750/
- Melo, KB, Moreira, HS, & Villalva, MG (2020). Influence of Solar Position Calculation Methods Applied to Horizontal Single-Axis Solar Trackers on Energy Generation. Energies, mdpi.com, https://www.mdpi.com/779496
- Luján, E, Otero, A, Valenzuela, S, Mocskos, E, & … (2020). An integrated platform for smart energy management: the CC-SEM project. Revista Facultad de …, scielo.org.co, http://www.scielo.org.co/pdf/rfiua/n97/0120-6230-rfiua-97-41.pdf
- Pouchain, F, Peronato, G, & Meunier, G (2020). A Flexible GIS-based Computational Framework for the Early-Design of District Energy Networks., proceedings.ises.org, http://proceedings.ises.org/paper/eurosun2020/eurosun2020-0100-Peronato.pdf
- Willockx, B, Herteleer, B, & Cappelle, J (2020). Combining photovoltaic modules and food crops: first agrovoltaic prototype in Belgium. Renewable Energy & Power …, lirias.kuleuven.be, https://lirias.kuleuven.be/3183062?limo=0
- Deceglie, MG, Silverman, TJ, & … (2020). Light and elevated temperature induced degradation (LeTID) in a utility-scale photovoltaic system. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9097396/
- Dahowski, R, Newman, S, Sood, V, & … (2020). EVALUATING FACILITY ENERGY EFFICIENCY AND RESILIENCE OPPORTUNITIES WITH FEDS AND MCOR. ASHRAE Topical …, search.proquest.com, https://search.proquest.com/openview/1e19c616a6e488e0c317bc4b5d4b3f15/1?pq-origsite=gscholar&cbl=5014767
- Rivera, M, & Reise, C (2020). SILICON SENSORS VS. PYRANOMETERS–REVIEW OF DEVIATIONS AND CONVERSION OF MEASURED VALUES. Presented at the 37th European PV Solar …, researchgate.net, https://www.researchgate.net/profile/Mariella-Rivera-Aguilar/publication/345726741_SILICON_SENSORS_VS_PYRANOMETERS_-REVIEW_OF_DEVIATIONS_AND_CONVERSION_OF_MEASURED_VALUES/links/5fabe2b2a6fdcc331b947718/SILICON-SENSORS-VS-PYRANOMETERS-REVIEW-OF-DEVIATIONS-AND-CONVERSION-OF-MEASURED-VALUES.pdf
- Neves, LA, Leite, GC, & … (2020). ANÁLISE DO DESEMPENHO DE CÉLULAS FOTOVOLTAICAS ORGÂNICAS E INORGÂNICAS SOB DIFERENTES MASSAS DE AR UTILIZANDO SIMULAÇÃO …. … de Energia Solar …, anaiscbens.emnuvens.com.br, https://anaiscbens.emnuvens.com.br/cbens/article/view/730
- Buresh, KM, Apperley, MD, & Booysen, MJ (2020). Three shades of green: Perspectives on at-work charging of electric vehicles using photovoltaic carports. Energy for Sustainable …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0973082620302441
- Tsolakis, AC, Bintoudi, AD, Zyglakis, L, & … (2020). Design and real-life deployment of a smart nanogrid: a greek case study. … on Power and …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9314396/
- Wu, D, Ma, X, Huang, S, Fu, T, & Balducci, P (2020). Stochastic optimal sizing of distributed energy resources for a cost-effective and resilient Microgrid. Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0360544220303911
- Øgaard, MB, Riise, HN, Haug, H, Sartori, S, & Selj, JH (2020). Photovoltaic system monitoring for high latitude locations. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X20307751
- Salat, A Bové (2020). Data acquisition pipeline design and HEMS integration for prosumers’ economic savings., upcommons.upc.edu, https://upcommons.upc.edu/handle/2117/334124
- Mahmoudi, M, Afsharchi, M, & … (2020). Demand response management in smart homes using robust optimization. … Power Components and …, Taylor & Francis, https://doi.org/10.1080/15325008.2020.1821831
- Mason, K, Reno, MJ, Blakely, L, Vejdan, S, & Grijalva, S (2020). A deep neural network approach for behind-the-meter residential PV size, tilt and azimuth estimation. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X19312101
- 山形裕貴, 野中尋史, & 山田昇 (2020). 深層強化学習による追尾式両面受光太陽電池アレイの最適制御. 北陸信越支部総会·講演会講演論文集 …, jstage.jst.go.jp, https://www.jstage.jst.go.jp/article/jsmehs/2020.57/0/2020.57_D031/_article/-char/ja/
- Bahnmüller, LC (2020). Investigating the variability of the Utrecht Science Park PV System.
- Bashir, N, Irwin, D, & Shenoy, P (2020). DeepSnow: Modeling the impact of snow on solar generation. Proceedings of the 7th ACM International …, dl.acm.org, https://doi.org/10.1145/3408308.3427620
- Theristis, M, King, BH, & Stein, J (2020). CHALLENGES ASSOCIATED WITH INCONSISTENT PHOTOVOLTAIC DEGRADATION RATE ESTIMATIONS.., osti.gov, https://www.osti.gov/servlets/purl/1820292
- Ranalli, J, Peerlings, EEM, & … (2020). Cloud Advection and Spatial Variability of Solar Irradiance. 2020 47th IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300700/
- Skeie, K, & Gustavsen, A (2020). Predicting solar radiation using a parametric cloud model. 12th Nordic Symposium on Building …, ntnuopen.ntnu.no, https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/2680143
- Bansal, A Singh, & Irwin, D (2020). See the light: Modeling solar performance using multispectral satellite data. Proceedings of the 7th ACM International …, dl.acm.org, https://doi.org/10.1145/3408308.3427610
- Byrne, RH, Nguyen, TA, Headley, A, & … (2020). Opportunities and Trends for Energy Storage Plus Solar in CAISO: 2014-2018. 2020 IEEE Power & …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9281883/
- Voinov, P, Huber, P, Calatroni, A, Rumsch, A, & Paice, A (2020). Effect of Sampling Rate on Photovoltaic Self-Consumption in Load Shifting Simulations. Energies, mdpi.com, https://www.mdpi.com/857618
- Lindig, S, Louwen, A, & Moser, D (2020). Outdoor PV system monitoring—input data quality, data imputation and filtering approaches. Energies, mdpi.com, https://www.mdpi.com/844338
- Sánchez, H, Meza, C, Dittmann, S, & … (2020). The effect of clearance height, albedo, tilt and azimuth angle in bifacial PV energy estimation using different existing algorithms. Proceeding of the III …, researchgate.net, https://www.researchgate.net/profile/Hugo-Sanchez-Ortiz/publication/346039220_The_effect_of_clearance_height_albedo_tilt_and_azimuth_angle_in_bifacial_PV_energy_estimation_using_different_existing_algorithms/links/602bd9ee4585158939ac0bfd/The-effect-of-clearance-height-albedo-tilt-and-azimuth-angle-in-bifacial-PV-energy-estimation-using-different-existing-algorithms.pdf
- Duan, J, Kooten, GC van, & Liu, X (2020). Renewable electricity grids, battery storage and missing money. Resources, Conservation and Recycling, Elsevier, https://www.sciencedirect.com/science/article/pii/S0921344920303189
- Mont, S Neven-du, Heinrich, M, Pfreundt, A, & … (2020). Energy Yield Modelling of 2D and 3D Curved Photovoltaic Modules. Presented at the 37th …, ise.fraunhofer.de, https://www.ise.fraunhofer.de/content/dam/ise/de/documents/publications/conference-paper/37th-eupvsec-2020/Neven-du_Mont_4BO136.pdf
- Willockx, B, Herteleer, B, & Cappelle, J (2020). Techno-economic study of agrovoltaic systems focusing on orchard crops. EU PVSEC Proceedings, lirias.kuleuven.be, https://lirias.kuleuven.be/3183068?limo=0
- Huang, J, Rikus, L, & Qin, Y (2020). Probabilistic solar irradiance forecasting using numerical weather prediction ensembles over Australia. 2020 47th IEEE Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300836/
- Huang, J, Jones, B, Thatcher, M, & … (2020). Temperature impacts on utility-scale solar photovoltaic and wind power generation output over Australia under RCP 8.5. Journal of Renewable …, aip.scitation.org, https://doi.org/10.1063/5.0012711
- Zimmerman, R, Panda, A, & Bulović, V (2020). Techno-economic assessment and deployment strategies for vertically-mounted photovoltaic panels. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261920306619
- Maitanova, N, Telle, JS, Hanke, B, Grottke, M, Schmidt, T, & … (2020). A machine learning approach to low-cost photovoltaic power prediction based on publicly available weather reports. energies, mdpi.com, https://www.mdpi.com/635914
- Yang, D (2020). Choice of clear-sky model in solar forecasting. Journal of Renewable and Sustainable Energy, aip.scitation.org, https://doi.org/10.1063/5.0003495
- Jones, CB, Theristis, M, Stein, JS, & … (2020). Feature selection of photovoltaic system data to avoid misclassification of fault conditions. 2020 47th IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300786/
- Refat, KH, & Sajjad, RN (2020). Prospect of achieving net-zero energy building with semi-transparent photovoltaics: A device to system level perspective. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S030626192031271X
- UCHIDA, T, TOBISAKA, R, & YAMADA, N (2020). Optimal Control of Tracking Bifacial Photovoltaic System by Using Deep Reinforcement Learning. … 学会講演論文集 (CD-ROM), jglobal.jst.go.jp, https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002267076536014
- Berardi, U, & Graham, J (2020). Investigation of the impacts of microclimate on PV energy efficiency and outdoor thermal comfort. Sustainable Cities and Society, Elsevier, https://www.sciencedirect.com/science/article/pii/S2210670720306235
- Orazi, T (2020). Analysis of fault performanceof heat pump-PV systems., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1507663
- Liu, C, Shi, J, Chen, H, & Chen, L (2020). Estimating Aggregated Behind-the-Meter Photovoltaic Generation Using Smart Meter Data. 2020 IEEE Power & Energy …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9281564/
- Prilliman, M, Stein, JS, Riley, D, & … (2020). Transient Weighted Moving Average Model of Photovoltaic Module Back-Surface Temperature. 2020 47th IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300872/
- Kunaifi, K, Reinders, A, Lindig, S, Jaeger, M, & Moser, D (2020). Operational performance and degradation of PV systems consisting of six technologies in three climates. Applied Sciences, mdpi.com, https://www.mdpi.com/789854
- Brown, PR, & O’Sullivan, FM (2020). Spatial and temporal variation in the value of solar power across United States electricity markets. Renewable and Sustainable Energy Reviews, Elsevier, https://www.sciencedirect.com/science/article/pii/S1364032119308020
- Feng, C, & Zhang, J (2020). SolarNet: A sky image-based deep convolutional neural network for intra-hour solar forecasting. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X20303285
- Javu, L, Winkler, H, & Roro, KT (2020). Validating clear-sky irradiance models in five South African locations., 146.64.81.179, http://146.64.81.179/dspace/handle/10204/11889
- Landman, C (2020). GHI forecasting to extend the range of a solar powered vehicle., scholar.sun.ac.za, http://scholar.sun.ac.za/handle/10019.1/107956
- Sreenath, S, Sudhakar, K, Yusop, AF, Solomin, E, & … (2020). Solar PV energy system in Malaysian airport: Glare analysis, general design and performance assessment. Energy Reports, Elsevier, https://www.sciencedirect.com/science/article/pii/S2352484719304603
- Shivam, K, Tzou, JC, & Wu, SC (2020). Multi-Objective Sizing Optimization of a Grid-Connected Solar–Wind Hybrid System Using Climate Classification: A Case Study of Four Locations in Southern Taiwan. Energies, mdpi.com, https://www.mdpi.com/717668
- Ripalda, JM, Chemisana, D, Llorens, JM, & … (2020). Impact of spectral effects on photovoltaic energy production: A case study in the United States. arXiv preprint arXiv …, arxiv.org, https://arxiv.org/abs/2003.08871
- Carpintero-Rentería, M, Santos-Martín, D, & … (2020). Photovoltaic electric power estimation with a machine learning algorithm based on neural networks and validated with deterministic approaches. … on Environment and …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9160751/
- Claeys, R, Protopapadaki, C, Saelens, D, & … (2020). A Data-Driven Approach to Assessing and Improving Stochastic Residential Load Modeling for District-Level Simulations and PV Integration. … Methods Applied to …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9183420/
- Kempe, MD, Holsapple, D, & Miller, DC (2020). Using Meteorological Data to Evaluate Worldwide PV Degradation Rates., osti.gov, https://www.osti.gov/biblio/1606134
- Newman, S, Shiozawa, K, Follum, J, Barrett, E, & … (2020). A comparison of PV resource modeling for sizing microgrid components. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148120313197
- Azaioud, H, Desmet, J, & Vandevelde, L (2020). Benefit Evaluation of PV Orientation for Individual Residential Consumers. Energies, mdpi.com, https://www.mdpi.com/845582
- Hafez, AA, Nassar, YF, Hammdan, MI, & … (2020). Technical and economic feasibility of utility-scale solar energy conversion systems in Saudi Arabia. Iranian Journal of Science …, Springer, https://doi.org/10.1007/s40998-019-00233-3
- Mabasa, B, Lysko, MD, Tazvinga, H, Mulaudzi, ST, & … (2020). The ångström–prescott regression coefficients for six climatic zones in South Africa. Energies, mdpi.com, https://www.mdpi.com/858630
- Catalina, A, Torres-Barrán, A, Alaíz, CM, & … (2020). Machine learning nowcasting of PV energy using satellite data. Neural Processing …, Springer, https://doi.org/10.1007/s11063-018-09969-1
- Byrne, RH, Nguyen, TA, Headley, A, & … (2020). Opportunities and Trends for Energy Storage Plus Solar in the CAISO Real-Time Market: 2014-2018. … Symposium on Power …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9161956/
- Razo, DE Guzman, Müller, B, Madsen, H, & Wittwer, C (2020). A genetic algorithm approach as a self-learning and optimization tool for PV power simulation and digital twinning. Energies, mdpi.com, https://www.mdpi.com/930134
- Meng, B, Loonen, RCGM, & Hensen, JLM (2020). Data-driven inference of unknown tilt and azimuth of distributed PV systems. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X20310306
- Cavagnaro, RJ, Copping, AE, Green, R, & … (2020). Powering the blue economy: progress exploring marine renewable energy integration with ocean observations. Marine Technology …, ingentaconnect.com, https://www.ingentaconnect.com/content/mts/mtsj/2020/00000054/00000006/art00012
- Bansal, AS, & Irwin, D (2020). Exploiting satellite data for solar performance modeling. 2020 IEEE International Conference on …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9302984/
- Lorente, JL, Liu, X, & Morrow, DJ (2020). Worldwide evaluation and correction of irradiance measurements from personal weather stations under all-sky conditions. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X20306873
- Skomedal, ÅF, Aarseth, BL, Haug, H, Selj, J, & Marstein, ES (2020). How much power is lost in a hot-spot? A case study quantifying the effect of thermal anomalies in two utility scale PV power plants. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X20311245
- Flett, GH, Tuohy, PG, & Lyden, A (2020). Towards a smart community evaluation and implementation toolkit-low-cost mini-district predictive controls with flexible tariffs. uSIM2020 Building to …, strathprints.strath.ac.uk, https://strathprints.strath.ac.uk/74792/
- Skomedal, Å, Deceglie, M, Haug, H, & Marstein, ES (2020). ITERATIVE AND SELF-CONSISTENT ESTIMATION OF DEGRADATION AND SOILING LOSS IN PV SYSTEMS–A CASE STUDY., researchgate.net, https://www.researchgate.net/profile/Asmund_Skomedal2/publication/344930548_Iterative_and_Self-Consistent_Estimation_of_Degradation_and_Soiling_Loss_in_PV_Systems_-_a_Case_Study/links/5f997aefa6fdccfd7b84e488/Iterative-and-Self-Consistent-Estimation-of-Degradation-and-Soiling-Loss-in-PV-Systems-a-Case-Study.pdf
- Kooten, GC van, Withey, P, & Duan, J (2020). How big a battery?. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148119309553
- Englmair, G, Larsen, AS, Kong, W, & Vajda, B (2020). Reuse of brine from desalination (NoBriner)., orbit.dtu.dk, https://orbit.dtu.dk/files/232267303/Byg_R_446_final.pdf
- Cros, S, Badosa, J, Szantaï, A, & Haeffelin, M (2020). Reliability predictors for solar irradiance satellite-based forecast. Energies, mdpi.com, https://www.mdpi.com/867950
- Gupta, R, Sossan, F, & Paolone, M (2020). Grid-aware distributed model predictive control of heterogeneous resources in a distribution network: Theory and experimental validation. IEEE Transactions on Energy …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9163265/
- Jones, CB, Lave, M, Reno, MJ, Darbali-Zamora, R, & … (2020). Volt-var curve reactive power control requirements and risks for feeders with distributed roof-top photovoltaic systems. Energies, mdpi.com, https://www.mdpi.com/802456
- Uribe, D Rueda (2020). Short-term solar power forecasting using different machine learning models., repositorio.uniandes.edu.co, https://repositorio.uniandes.edu.co/handle/1992/48972
- Liu, S, Maldonado, DA, & Constantinescu, EM (2020). Probabilistic analysis of masked loads with aggregated photovoltaic production. Electric Power Systems …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0378779620304739
- Micheli, L, Theristis, M, Talavera, DL, Almonacid, F, & … (2020). Photovoltaic cleaning frequency optimization under different degradation rate patterns. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148120317870
- Simpson, L (2020). Addressing Soiling: From Interface Chemistry to Practicality., osti.gov, https://www.osti.gov/biblio/1659855
- PATIL, PR, DHAMALE, K, PERIS, SL, REDDY, BUK, & … (2020). ENERGY SYSTEM MODELLING OF DENMARK USING OEMOF., researchgate.net, https://www.researchgate.net/profile/Parag-Patil/project/Energy-Systems-Modelling-of-Denmark-for-the-year-2030/attachment/5eb3e79a4f9a520001e4f0e5/AS:888509321711616@1588848538242/download/Energy+System+Modelling+Denmark.pdf
- Taufiqurrahman, A, Putrada, AG, & … (2020). Decision Tree Regression with AdaBoost Ensemble Learning for Water Temperature Forecasting in Aquaponic Ecosystem. 2020 6th International …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9339669/
- Coppitters, D, Paepe, W De, & Contino, F (2020). Robust design optimization and stochastic performance analysis of a grid-connected photovoltaic system with battery storage and hydrogen storage. Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0360544220319058
- Mallapragada, DS, Gençer, E, Insinger, P, & … (2020). Can industrial-scale solar hydrogen supplied from commodity technologies Be cost competitive by 2030?. Cell Reports Physical …, Elsevier, https://www.sciencedirect.com/science/article/pii/S2666386420301855
- Feng, C, & Zhang, J (2020). SolarNet: A Deep Convolutional Neural Network for Solar Forecasting via Sky Images. 2020 IEEE Power & Energy Society …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9087703/
- Pistellato, M, Traviglia, A, & Bergamasco, F (2020). Geolocating Time: Digitisation and Reverse Engineering of a Roman Sundial. European Conference on …, Springer, https://doi.org/10.1007/978-3-030-66096-3_11
- Schubnel, B, Carrillo, RE, Taddeo, P, & … (2020). State-space models for building control: how deep should you go?. Journal of Building …, Taylor & Francis, https://doi.org/10.1080/19401493.2020.1817149
- Ghotge, R, Snow, Y, Farahani, S, Lukszo, Z, & Wijk, A van (2020). Optimized scheduling of EV charging in solar parking lots for local peak reduction under EV demand uncertainty. Energies, mdpi.com, https://www.mdpi.com/661080
- Guariso, G, Nunnari, G, & Sangiorgio, M (2020). Multi-step solar irradiance forecasting and domain adaptation of deep neural networks. Energies, mdpi.com, https://www.mdpi.com/787066
- Awara, S, Lynch, M, Pfenninger, S, Schell, K, & … (2020). Capacity Value of Solar Power and Other Variable Generation. arXiv preprint arXiv …, arxiv.org, https://arxiv.org/abs/2007.09015
- Carrillo, RE, Leblanc, M, Schubnel, B, Langou, R, & … (2020). High-Resolution PV Forecasting from Imperfect Data: A Graph-Based Solution. Energies, mdpi.com, https://www.mdpi.com/879112
- Toquica, D, Agbossou, K, Malhamé, R, Henao, N, & … (2020). Adaptive machine learning for automated modeling of residential prosumer agents. Energies, mdpi.com, https://www.mdpi.com/707624
- Li, M, Liao, Z, & Coimbra, CFM (2020). Spectral solar irradiance on inclined surfaces: A fast Monte Carlo approach. Journal of Renewable and …, aip.scitation.org, https://doi.org/10.1063/5.0011635
- Salamanis, AI, Xanthopoulou, G, Bezas, N, Timplalexis, C, & … (2020). Benchmark Comparison of Analytical, Data-Based and Hybrid Models for Multi-Step Short-Term Photovoltaic Power Generation Forecasting. Energies, mdpi.com, https://www.mdpi.com/891658
- Villena, MM De, Boukas, I, Mathieu, S, & … (2020). A framework to integrate flexibility bids into energy communities to improve self-consumption. 2020 IEEE Power & …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9282036/
- Hendrikx, NY (2020). Short term solar irradiance time-series forecasting with machine learning.
- Deline, C, White, R, Muller, M, Anderson, K, & … (2020). PV fleet performance data initiative program and methodology. 2020 47th IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300583/
- Alam, SMS, Florita, AR, & Hodge, BM (2020). Distributed PV generation estimation using multi-rate and event-driven Kalman kriging filter. IET Smart Grid, ieeexplore.ieee.org.
- KHAN, MA, & NAVEEN, F (2020). Performance Evaluation of distributed Solar PV Installations., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1503695
- Summers, A, Johnson, J, Darbali-Zamora, R, Hansen, C, & … (2020). A comparison of DER voltage regulation technologies using real-time simulations. Energies, mdpi.com, https://www.mdpi.com/765662
- Nespoli, A, & Niccolai, A (2020). Solar position identification on sky images for photovoltaic nowcasting applications. 2020 IEEE International Conference on …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9160490/
- Böök, H, Poikonen, A, Aarva, A, Mielonen, T, & … (2020). Photovoltaic system modeling: A validation study at high latitudes with implementation of a novel DNI quality control method. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X20304540
- Swaminathan, S, Pavlak, GS, & Freihaut, J (2020). Sizing and dispatch of an islanded microgrid with energy flexible buildings. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261920308679
- Heery, EC, Lian, KY, Loke, LHL, Tan, HTW, & … (2020). Evaluating seaweed farming as an eco-engineering strategy for ‘blue’shoreline infrastructure. Ecological Engineering, Elsevier, https://www.sciencedirect.com/science/article/pii/S0925857420301452
- Oliva, Á Benito (2020). Estudio comparativo de distintas estrategias de seguimiento del punto de máxima potencia de un generador fotovoltaico., oa.upm.es, https://oa.upm.es/id/eprint/64320
- Troitzsch, S, Sreepathi, BK, Huynh, TP, Moine, A, Hanif, S, & … (2020). Optimal electric-distribution-grid planning considering the demand-side flexibility of thermal building systems for a test case in Singapore. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261920304293
- Booij, D (2020). Techno-economic analysis of self-consumption in the residential sector and the associated effect on the electricity network.
- Yoshizawa, S, & Hayashi, Y (2020). Advanced voltage control based on short-time ahead voltage fluctuation estimation in distribution system. Electric Power Systems Research, Elsevier, https://www.sciencedirect.com/science/article/pii/S0378779620303631
- Yang, D, & Gueymard, CA (2020). Ensemble model output statistics for the separation of direct and diffuse components from 1-min global irradiance. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X2030582X
- Feng, M, Bashir, N, Shenoy, P, Irwin, D, & … (2020). Sundown: Model-driven per-panel solar anomaly detection for residential arrays. Proceedings of the 3rd …, dl.acm.org, https://doi.org/10.1145/3378393.3402257
- Bekirov, EA, Asanov, MM, & … (2020). Algorithm and program for calculating the facility’s power supply system based on photovoltaic modules. IOP Conference Series …, iopscience.iop.org, https://doi.org/10.1088/1757-899X/791/1/012053
- Siemenn, AE, Looney, EE, & … (2020). Does Energy Yield Increase when Conjoining a PV Module with a Thermoelectric Device?. 2020 47th IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9300359/
- Spiliotis, K, Gonçalves, JE, Saelens, D, Baert, K, & … (2020). Electrical system architectures for building-integrated photovoltaics: A comparative analysis using a modelling framework in Modelica. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261919319348
- BARALIS, E, & Talakoobi, T (2020). Solar Power Forecast Using Artificial Neural Network Techniques., webthesis.biblio.polito.it, https://webthesis.biblio.polito.it/15873/1/tesi.pdf
- Yadavally, A (2020). An Exploration of Machine Learning Based Day-Ahead Solar Irradiance Forecasting Methodologies., search.proquest.com, https://search.proquest.com/openview/8b4b7f72a584e4cde06e6434e572f211/1?pq-origsite=gscholar&cbl=44156
- Louw, J (2020). Modelling and simulation of bifacial PV modules by implementing the ray tracing technique., scholar.sun.ac.za, http://scholar.sun.ac.za/handle/10019.1/107857
- Refat, KH (2020). Performance estimate of semi transparent photovoltaics through modeling and characterization., lib.buet.ac.bd, http://lib.buet.ac.bd:8080/xmlui/handle/123456789/5840
- Yang, D, & Liu, L (2020). Solar project financing, bankability, and resource assessment. Sustainable Energy Solutions for Remote Areas in the …, Springer, https://doi.org/10.1007/978-3-030-41952-3_8
- Padey, P, Goulouti, K, Saint-Pierre, D Beloin, & … (2020). Dynamic Life Cycle Assessment of the building electricity demand. Proceedings of 21 …, researchgate.net, https://www.researchgate.net/profile/Sebastien-Lasvaux/publication/349139291_Dynamic_Life_Cycle_Assessment_of_the_building_electricity_demand/links/60225b5445851589399073e0/Dynamic-Life-Cycle-Assessment-of-the-building-electricity-demand.pdf
- Prilliman, M (2020). Moving-Average Transient Model for Predicting the Back-surface Temperature of Photovoltaic Modules., search.proquest.com, https://search.proquest.com/openview/899282f03b31c818657463002da2dcc3/1?pq-origsite=gscholar&cbl=18750&diss=y
- Riedel-Lyngskær, N, Berrian, D, Mira, D Alvarez, & … (2020). Validation of Bifacial Photovoltaic Simulation Software against Monitoring Data from Large-Scale Single-Axis Trackers and Fixed Tilt Systems in Denmark. Applied Sciences, mdpi.com, https://www.mdpi.com/904962
- Kelly, NB (2020). Grid edge system simulation and evaluation tool (GESSO): Development of a tool for the modelling and design of distributed cooperating microgrids., researchcommons.waikato.ac.nz, https://researchcommons.waikato.ac.nz/handle/10289/13420
- Walch, A, Castello, R, Mohajeri, N, & Scartezzini, JL (2020). Big data mining for the estimation of hourly rooftop photovoltaic potential and its uncertainty. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261919320914
- Kim, M, Song, H, & Kim, Y (2020). Direct short-term forecast of photovoltaic power through a comparative study between COMS and Himawari-8 meteorological satellite images in a deep neural …. Remote Sensing, mdpi.com, https://www.mdpi.com/776500
- Rust, C, Smit, MA, & Schoeman, D (2020). Benefits of a photo voltaic solar system in a private dwelling., 146.64.81.179, http://146.64.81.179/dspace/handle/10204/11706
- Komrit, S (2020). Comparative analyses of solar photovoltaic, wind, and hybrid energy systems: case study of Thailand., scholarworks.calstate.edu, https://scholarworks.calstate.edu/downloads/8910k0440
- Pillot, B, Al-Kurdi, N, Gervet, C, & Linguet, L (2020). An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261919319440
- Pun, KB (2020). Short term forecasting of solar power with machine learning and time series techniques., soar.wichita.edu, https://soar.wichita.edu/handle/10057/19764
- Kirchsteiger, H, & Steinmaurer, G (2020). Optimal Energy Management of Residential Solar PV with Battery Storage: Effects of Fast Load and Generation Transients. 2020 7th International …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9263853/
- Niccolai, A, & Nespoli, A (2020). Sun Position Identification in Sky Images for Nowcasting Application. Forecasting, mdpi.com, https://www.mdpi.com/891152
- Shaffery, P, Habte, A, Netto, M, Andreas, A, & Krishnan, V (2020). Automated construction of clear-sky dictionary from all-sky imager data. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X20311117
- Jiménez, JR Pungil (2020). Flujos de potencia probabilísticos considerando centrales fotovoltaicas empleando el método de montecarlo., bibdigital.epn.edu.ec, http://bibdigital.epn.edu.ec/handle/15000/21218
- Freitas, J de Sousa, Cronemberger, J, Soares, RM, & … (2020). Modeling and assessing BIPV envelopes using parametric Rhinoceros plugins Grasshopper and Ladybug. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148120308417
- Zambrano, AF, & Giraldo, LF (2020). Solar irradiance forecasting models without on-site training measurements. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148120301142
- Kong, W, Jia, Y, Dong, ZY, Meng, K, & Chai, S (2020). Hybrid approaches based on deep whole-sky-image learning to photovoltaic generation forecasting. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261920313465
- Copping, AE, Green, RE, Cavagnaro, RJ, Jenne, DS, & … (2020). Powering the Blue Economy-Ocean Observing Use Cases Report., osti.gov, https://www.osti.gov/biblio/1700536
- Stainsby, W, Zimmerle, D, & Duggan, GP (2020). A method to estimate residential PV generation from net-metered load data and system install date. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261920304074
- Bloch, LB (2020). Optimal path to a high share of distributed PV in low-voltage distribution grids., infoscience.epfl.ch, https://infoscience.epfl.ch/record/279521
- Dimanchev, E, Hodge, J, & Parsons, J (2020). Two-Way Trade in Green Electrons: Deep Decarbonization of the Northeastern US and the Role of Canadian Hydropower., dspace.mit.edu, https://dspace.mit.edu/handle/1721.1/130577
- Júnior, EFM, & Rüther, R (2020). The influence of the solar radiation database and the photovoltaic simulator on the sizing and economics of photovoltaic-diesel generators. Energy Conversion and Management, Elsevier, https://www.sciencedirect.com/science/article/pii/S0196890420302752
- Pinna, A, & Massidda, L (2020). A procedure for complete census estimation of rooftop photovoltaic potential in urban areas. Smart Cities, mdpi.com, https://www.mdpi.com/795944
- Hoyo, M Del, Rondanelli, R, & Escobar, R (2020). Significant decrease of photovoltaic power production by aerosols. The case of Santiago de Chile. Renewable Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S096014811931496X
- Rougerie-Durocher, S, Philion, V, & Szalatnay, D (2020). Measuring and modelling of apple flower stigma temperature as a step towards improved fire blight prediction. Agricultural and Forest …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0168192320302732
- Yang, D, Alessandrini, S, Antonanzas, J, & … (2020). Verification of deterministic solar forecasts. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X20303947
- Besio, A Inzunza (2020). Distributional effects of net metering policies and residential solar plus behind-the-meter storage adoption., oastats.mit.edu, http://oastats.mit.edu/handle/1721.1/127171
- Möller, C (2020). Speicherbedarf und Systemkosten in der Stromversorgung für energieautarke Regionen und Quartiere., dokumente.ub.tu-clausthal.de, https://dokumente.ub.tu-clausthal.de/servlets/MCRFileNodeServlet/clausthal_derivate_00001343/Db114514.pdf
- Guambaña, GF Chávez (2020). Máxima transferencia de potencia de un sistema de micro generación fotovoltaica por medio de PSO y modelación dinámica por medio de Vensim., dspace.ups.edu.ec, https://dspace.ups.edu.ec/handle/123456789/19272
- Nespoli, L, & Medici, V (2020). Multivariate Boosted Trees and Applications to Forecasting and Control. arXiv preprint arXiv:2003.03835, arxiv.org, https://arxiv.org/abs/2003.03835
- Golubev, T (2020). Multi-physics modeling and simulation of photovoltaic devices and systems., search.proquest.com, https://search.proquest.com/openview/63ac993f14fbbab09d4adeb08d823a68/1?pq-origsite=gscholar&cbl=18750&diss=y
- Tong, X, Liu, S, Yan, J, Broesicke, OA, Chen, Y, & … (2020). Thermolytic osmotic heat engine for low-grade heat harvesting: Thermodynamic investigation and potential application exploration. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261919318793
- Durusoy, B (2020). Description and verification of a model to calculate the efficiency of a bifacial PV module using theoretical and experimental observations., open.metu.edu.tr, https://open.metu.edu.tr/bitstream/handle/11511/45370/index.pdf
- Pravettoni, M (2020). Module Deployment and Energy Rating. Solar Cells and Modules, Springer, https://doi.org/10.1007/978-3-030-46487-5_10
- Balderrama, JGP, Subieta, SB, Lombardi, F, & … (2020). Incorporating high-resolution demand and techno-economic optimization to evaluate micro-grids into the Open Source Spatial Electrification Tool (OnSSET). Energy for Sustainable …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0973082620302180
- Muschner, C (2020). An Open Source Energy Modelling Framework Comparison of OSeMOSYS and oemof., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1444892
- Ganchala, JD Campoverde (2020). Gestión de la demanda eléctrica mediante modelos bipartitos para una óptima respuesta a la demanda en usuarios residenciales., dspace.ups.edu.ec, https://dspace.ups.edu.ec/handle/123456789/18351
- Johansson, K, & Ljungek, F (2020). ADDRESSING GRID CAPACITY THROUGH TIME SERIES: Deriving a data driven and scenario-based method for long-term planning of local grids.., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1441742
- Silva, M (2020). Modelado y estudio del impacto de sombras sobre paneles solares fotovoltaicos., rinfi.fi.mdp.edu.ar, http://rinfi.fi.mdp.edu.ar/handle/123456789/441
- Ruiz, G Matas (2020). Desarrollo de una plataforma de datos abiertos para la estación meteorológica del Instituto de Energía Solar., oa.upm.es, https://oa.upm.es/id/eprint/63112
- Brüls, M (2020). FAULT DETECTION FOR SMALL-SCALE PHOTOVOLTAIC POWER INSTALLATIONS: A Case Study of a Residential Solar Power System., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1525224
- Kam, MJ (2020). Driving solar: Integrating photovoltaic systems, electric vehicles, and consumer behaviour in models of smart energy systems., dspace.library.uu.nl, https://dspace.library.uu.nl/handle/1874/391795
- Ismail, Y (2020). Model-based Fault Detection for Grid Connected Photovoltaic Plants from Monitoring Data., elib.dlr.de, https://elib.dlr.de/130907/1/Master_s_thesis_final.pdf
- Wu, Y (2020). System Design Strategy & Energy Yield Analysis for Solar PV Application in an Urban Community with Constrained Rooftop Area., search.proquest.com, https://search.proquest.com/openview/581482703a727923afd467d575cc3e79/1?pq-origsite=gscholar&cbl=18750&diss=y
- Júnior, EF Moscardini (2020). A influência do banco de dados solarimétricos e do simulador fotovoltaico no dimensionamento e na economia de combustível em usinas fotovoltaico-diesel., repositorio.ufsc.br, https://repositorio.ufsc.br/handle/123456789/215893
2019
- Holmgren, W, Lorenzo, T, Krien, U, Mikofski, M, & Hansen, C (2019). Pvlib/pvlib-python: V0. 6.3. Zenodo
- Holmgren, W, Lorenzo, T, Krien, U, Mikofski, M, Hansen, C, & … (2019). pvlib/pvlib-python v0. 7.0.
- Hansen, C, & Riley, D (2019). Open-source Software for Solar Power: Update.., osti.gov, https://www.osti.gov/servlets/purl/1640607
- Ransome, S. (2019). “Quantifying Long Term PV Performance and Degradation under Real Outdoor and IEC 61853 Test Conditions Using High Quality Module IV Measurements 5CV.4.35”, 36th EU PVSEC Sep 2019 Marseille, http://www.steveransome.com/PUBS/1909_5CV4_35_PVSEC36_Marseille_Ransome_PPT.pdf
- Perna, A, Grubbs, EK, Agrawal, R, & … (2019). Design considerations for agrophotovoltaic systems: maintaining PV area with increased crop yield. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8981324/
- González, M Moreno (2019). Modelado de sistemas fotovoltaicos de concentración para la biblioteca de código abierto PVLIB-Python., oa.upm.es, https://oa.upm.es/id/eprint/63168
- Dyamond, WP, & Rix, AJ (2019). Detecting Anomalous Events for a Grid Connected PV Power Plant Using Sensor Data. 2019 Southern African Universities …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8704812/
- DeFreitas, Z, Ramirez, A, Huang, B, & … (2019). Evaluating the accuracy of various irradiance models in detecting soiling of irradiance sensors. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8981194/
- Landelius, T, Andersson, S, & … (2019). Modelling and forecasting PV production in the absence of behind‐the‐meter measurements. Progress in …, Wiley Online Library, https://doi.org/10.1002/pip.3117
- Holmgren, WF, Lorenzo, AT, & … (2019). Benchmark Solar Power Forecasts. 99th American …, solarforecastarbiter.org, https://solarforecastarbiter.org/assets/posters/AMS%202019%20Benchmark%20Solar%20Power%20Forecasts.pdf
- Abuella, M (2019). Wind and Solar Energy Resources Modeling and Analysis., researchgate.net, https://www.researchgate.net/profile/Mohamed-Abuella/publication/335653075_Wind_and_Solar_Energy_Resources_Modeling_and_Analysis/links/5d85571592851ceb791fbb60/Wind-and-Solar-Energy-Resources-Modeling-and-Analysis.pdf
- Nascimento, M, Avila, AB de, Reiser, R, Pilla, ML, & … (2019). Towards Memory Access Optimization in Quantum Computing.. EUSFLAT …, researchgate.net, https://www.researchgate.net/profile/Renata-Reiser/publication/335807320_Towards_Memory_Access_Optimization_in_Quantum_Computing/links/5ff4ade345851553a0227092/Towards-Memory-Access-Optimization-in-Quantum-Computing.pdf
- Bashir, N, Chen, D, Irwin, D, & … (2019). Solar-TK: A Data-driven Toolkit for Solar PV Performance Modeling and Forecasting. 2019 IEEE 16th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9077525/
- Ellis, BH, Deceglie, M, & Jain, A (2019). Automatic Detection of Clear-Sky Periods From Irradiance Data. IEEE Journal of Photovoltaics, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8727494/
- Oliveira, TP, Narvaez, DI, & Villalva, MG (2019). Comparison of Irradiance Decomposition and Energy Production Methods in a Solar Photovoltaic System. International Journal of …, researchgate.net, https://www.researchgate.net/profile/Shukla-Poddar/post/How_can_I_calculate_the_solar_power_output_using_irradiance/attachment/6141a8d0181c2e4f4a886163/AS%3A1068212053610496%401631693008346/download/comparison-of-irradiance-decomposition-and-energy-production-methods-in-a-solar-photovoltaic-system.pdf
- Deceglie, MG, Jordan, DC, Nag, A, & … (2019). Fleet-scale energy-yield degradation analysis applied to hundreds of residential and nonresidential photovoltaic systems. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8598843/
- Driesse, A, & Patel, N (2019). Cross-validation of PV System Simulation Software. … of the 36th European Photovoltaic Solar …, researchgate.net, https://www.researchgate.net/profile/Anton-Driesse/publication/335842590_Cross-validation_of_PV_System_Simulation_Software/links/5d84d422a6fdcc8fd6ff3180/Cross-validation-of-PV-System-Simulation-Software.pdf
- Meyers, B, Tabone, M, & Kara, EC (2019). Statistical clear sky fitting algorithm. arXiv preprint arXiv:1907.08279, arxiv.org, https://arxiv.org/abs/1907.08279
- Curran, AJ, Jones, CB, Lindig, S, Stein, J, & … (2019). Performance loss rate consistency and uncertainty across multiple methods and filtering criteria. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8980928/
- Freeman, JM, DiOrio, N, Blair, N, Guittet, D, Gilman, P, & … (2019). Improvement and validation of the system advisor model., osti.gov, https://www.osti.gov/biblio/1495693
- Patel, SS, & Rix, AJ (2019). Water surface albedo modelling for floating PV plants. Europe, sasec.org.za, https://sasec.org.za/papers2019/8.pdf
- Carmignani, CK (2019). CO School of Mines-Sandia-PV & Materials Tech-Python.., osti.gov, https://www.osti.gov/servlets/purl/1644475
- Silva, MK (2019). Estudo de modelos matemáticos para análise da radiação solar e desenvolvimento de ferramenta para modelagem e simulação de sistemas fotovoltaicos., [sn]
- Whitmire, C, Rokad, B, & Crumley, C (2019). Origami Inspired Solar Panel Design. arXiv preprint arXiv:1905.06012, arxiv.org, https://arxiv.org/abs/1905.06012
- Khan, B (2019). Assessment of statistical relationship between cloud indices and relative photovoltaic (PV) production data., lutpub.lut.fi, https://lutpub.lut.fi/handle/10024/160174
- Gunda, T, & Cai, M (2019). Foresee the Future: Using Machine Learning, Climate, and Site Characteristics to Predict PV Solar Plant Generation., osti.gov, https://www.osti.gov/biblio/1592882
- Vivian, J, & Mazzi, N (2019). An algorithm for the optimal management of air-source heat pumps and PV systems. Journal of Physics: Conference Series, iopscience.iop.org, https://doi.org/10.1088/1742-6596/1343/1/012069
- Zuiker, A (2019). A comparative study of PV simulation and machine learning models on a macrolevel and microlevel.
- Camargo, L Ramirez, Nitsch, F, Gruber, K, Valdes, J, & … (2019). Potential analysis of hybrid renewable energy systems for self-sufficient residential use in Germany and the Czech Republic. Energies, mdpi.com, https://www.mdpi.com/565836
- Pelaez, SA, Deline, C, Greenberg, P, & … (2019). Model and validation of single-axis tracking with bifacial PV. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8644027/
- Hansen, CW, Holmgren, WF, Tuohy, A, & … (2019). The Solar Forecast Arbiter: An Open Source Evaluation Framework for Solar Forecasting. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8980713/
- Kosmadakis, I, & Elmasides, C (2019). Towards performance enhancement of hybrid power supply systems based on renewable energy sources. Energy Procedia, Elsevier, https://www.sciencedirect.com/science/article/pii/S1876610218312384
- Bruckman, LS (2019). Transformative Opportunities from Data Science and Big Data Analytics: Applied to Photovoltaics. The Electrochemical Society Interface, iopscience.iop.org, https://doi.org/10.1149/2.F07191if
- Kim, T, Ko, W, & Kim, J (2019). Analysis and impact evaluation of missing data imputation in day-ahead PV generation forecasting. Applied Sciences, mdpi.com, https://www.mdpi.com/391836
- Cormode, D, Croft, N, Hamilton, R, & … (2019). A method for error compensation of modeled annual energy production estimates introduced by intra-hour irradiance variability at PV power plants with a high DC to …. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8981206/
- Øgaard, MB, Skomedal, Å, & Selj, JHK (2019). Performance evaluation of monitoring algorithms for photovoltaic systems., ife.brage.unit.no, https://ife.brage.unit.no/ife-xmlui/bitstream/handle/11250/2632573/5CV.4.30_paper_MB%25C3%25982019.pdf?sequence=2
- Razo, DEG, Müller, B, & Wittwer, C (2019). Ein Modellansatz zur Bestimmung von Direkt-und Diffusanteil der Einstrahlung auf die PV-Modulebene., researchgate.net, https://www.researchgate.net/profile/Dorian-Esteban-Guzman-Razo/publication/333293000_Ein_Modellansatz_zur_Bestimmung_von_Direkt-und_Diffusanteil_der_Einstrahlung_auf_die_PV-Modulebene/links/5ce56fe5458515712ebb66e6/Ein-Modellansatz-zur-Bestimmung-von-Direkt-und-Diffusanteil-der-Einstrahlung-auf-die-PV-Modulebene.pdf
- Huang, J, Khan, MM, Qin, Y, & … (2019). Hybrid Intra-hour Solar PV Power Forecasting using Statistical and Skycam-based Methods. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8980732/
- Lee, KH, Daisuke, S, Araki, K, Yamada, N, & … (2019). Demonstration of the performance static low-concentration module using hybrid lens arrays. AIP Conference …, aip.scitation.org, https://doi.org/10.1063/1.5124208
- Kosmadakis, IE, Elmasides, C, Eleftheriou, D, & … (2019). A techno-economic analysis of a pv-battery system in Greece. Energies, mdpi.com, https://www.mdpi.com/442214
- Barbier, T, Blanc, P, & Saint-Drenan, YM (2019). Software correction of angular misalignments of tilted reference solar cells using clear-sky satellite open data. EU PVSEC 2019, core.ac.uk, https://core.ac.uk/download/pdf/231946055.pdf
- Polo, J, Martín-Chivelet, N, Alonso-García, MC, & … (2019). Modeling IV curves of photovoltaic modules at indoor and outdoor conditions by using the Lambert function. Energy Conversion and …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0196890419306405
- Younas, R, Imran, H, Riaz, MH, & … (2019). Agrivoltaic farm design: Vertical bifacial vs. tilted monofacial photovoltaic panels. arXiv preprint arXiv …, researchgate.net, https://www.researchgate.net/profile/Rehan-Younas/publication/336230450_Agrivoltaic_Farm_Design_Vertical_Bifacial_vs_Tilted_Monofacial_Photovoltaic_Panels/links/5d9ad464299bf1c363fd045a/Agrivoltaic-Farm-Design-Vertical-Bifacial-vs-Tilted-Monofacial-Photovoltaic-Panels.pdf
- Catalina, A, Alaíz, CM, & … (2019). Combining numerical weather predictions and satellite data for PV energy nowcasting. IEEE Transactions on …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8865555/
- Chaudhari, C, Lance, T, Kimball, GM, & … (2019). PVOPEL: A Scalable Opto-Electrical Performance Model of PV systems using Ray Tracing and PVMismatch. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8981230/
- Coppitters, D, Paepe, W De, & Contino, F (2019). DOES THE INCLUSION OF A HYDROGEN-BASED ENERGY SYSTEM IMPROVES THE ROBUSTNESS OF THE LEVELIZED COST OF ELECTRICITY FOR AN …., energy-proceedings.org, https://www.energy-proceedings.org/wp-content/uploads/2020/02/272_Paper_0621030436.pdf
- Lee, KH, Sato, D, Araki, K, Yamada, N, & … (2019). Demonstration of High Efficiency Static Low-Concentration Photovoltaic Module Using Hybrid Lens Arrays. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8981268/
- Camargo, LR, Gruber, K, Nitsch, F, & Dorner, W (2019). Hybrid renewable energy systems to supply electricity self-sufficient residential buildings in Central Europe. Energy Procedia, Elsevier, https://www.sciencedirect.com/science/article/pii/S1876610219301067
- Headley, A, Hansen, C, & Nguyen, T (2019). Maximizing revenue from electrical energy storage paired with community solar projects in NYISO markets. 2019 North American Power …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9000262/
- Braun, C (2019). A SCALABLE APPROACH FOR SPATIO-TEMPORAL ASSESSMENT OF PHOTOVOLTAIC ELECTRICITY POTENTIALS FOR BUILDING FAÇADES OF ENTIRE …. … of the Photogrammetry, Remote Sensing & …, pdfs.semanticscholar.org, https://pdfs.semanticscholar.org/1c9e/8a95ed9963b87d4dad1bd5ad2d228b25658d.pdf
- Dzurick, M, Potter, BG, Holmgren, WF, & … (2019). Enhanced Photovoltaic Power Model Fidelity Using On-Site Irradiance and Degradation-Informed Performance Input. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8980708/
- Peláez, SA, Deline, C, Stein, JS, Marion, B, & … (2019). Effect of torque-tube parameters on rear-irradiance and rear-shading loss for bifacial PV performance on single-axis tracking systems. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9198975/
- Méndez, JC Julio (2019). Refinamiento e implementación de modelo computacional para predicción del comportamiento de parques solares fotovoltaicos., repositorio.uniandes.edu.co, https://repositorio.uniandes.edu.co/handle/1992/44827
- Waters, M, Deline, C, Kemnitz, J, & … (2019). Suggested modifications for bifacial capacity testing. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9198974/
- Haakana, J, Haapaniemi, J, Lassila, J, Partanen, J, & … (2019). Electricity demand profile for residential customer 2030., cired-repository.org, https://www.cired-repository.org/handle/20.500.12455/573
- Driesse, A, & Stein, J (2019). Making the Most of Module Matrix Measurements: IEC 61853-1.., osti.gov, https://www.osti.gov/servlets/purl/1641920
- Kuppannagari, S, Kannan, R, & Prasanna, VK (2019). Approximate Scheduling of DERs with Discrete Complex Injections. Proceedings of the Tenth …, dl.acm.org, https://doi.org/10.1145/3307772.3328311
- Stein, J, Prilliman, MJ, Stark, CT, Pelaez, SA, & Deline, C (2019). Bifacial Performance Optimization Studies using Bifacial Radiance and High Performance Computing.., osti.gov, https://www.osti.gov/servlets/purl/1641769
- Platonova, EV, Toropov, AS, & … (2019). Simulation of energy input to solar panels. 2019 International Ural …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8877633/
- Mikofski, MA, Darawali, R, Hamer, M, & … (2019). Bifacial performance modeling in large arrays. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8980572/
- Headley, A, Hansen, C, & Nguyen, TA (2019). Energy Storage Paired with Community Solar in NYISO.., osti.gov, https://www.osti.gov/servlets/purl/1642814
- Headley, A, Nguyen, TA, & Byrne, RH (2019). Energy Storage Analysis for Regional Demonstration Projects.., osti.gov, https://www.osti.gov/servlets/purl/1642175
- Headley, A (2019). Maximizing Storage Value in Regional Markets and the QuESt App.., osti.gov, https://www.osti.gov/servlets/purl/1645595
- Shinn, A, & Browne, B (2019). Measuring Degradation of Fielded Systems on an Ongoing Basis with RdTools., osti.gov, https://www.osti.gov/biblio/1507571
- Holland, N, Pang, X, Herzberg, W, & … (2019). Solar and PV forecasting for large PV power plants using numerical weather models, satellite data and ground measurements. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8980496/
- Meunier, S, Queval, L, Heinrich, M, & … (2019). Effect of irradiance data on the optimal sizing of photovoltaic water pumping systems. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8981282/
- Dyamond, WP (2019). Fault Detection and performance visualisation for a grid-connected Photovoltaic Power Plant using sensor data., scholar.sun.ac.za, http://scholar.sun.ac.za/handle/10019.1/107181
- Εμμανουηλίδου, ΙΚ, & Τόλης, ΑΝ (2019). Ανάλυση επιχειρηματικών σχεδίων φωτοβολταϊκών εφαρμογών: δεδομένα εγκαταστάσεων και εκτίμηση απόδοσης., ir.lib.uth.gr, https://ir.lib.uth.gr/xmlui/bitstream/handle/11615/50027/18849.pdf?sequence=1
- Heesen, H te, Herbort, V, & Rumpler, M (2019). Performance of roof-top PV systems in Germany from 2012 to 2018. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X19310023
- Razo, DEG, Killinger, S, Müller, B, & Wittwer, C (2019). A Comparison of Two Models for the Separation of Direct and Diffuse Irradiance in Plane of Array., researchgate.net, https://www.researchgate.net/profile/Dorian-Esteban-Guzman-Razo/publication/336775672_A_Comparison_of_Two_Models_for_the_Separation_of_Direct_and_Diffuse_Irradiance_in_Plane_of_Array/links/5db1bf9d92851c577eba869d/A-Comparison-of-Two-Models-for-the-Separation-of-Direct-and-Diffuse-Irradiance-in-Plane-of-Array.pdf
- Bennett, JA, Fuhrman, J, Brown, T, Andrews, N, Fittro, R, & … (2019). Feasibility of using sCO2 turbines to balance load in power grids with a high deployment of solar generation. Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0360544219310254
- Ye, LC, Lin, HX, & Tukker, A (2019). Future scenarios of variable renewable energies and flexibility requirements for thermal power plants in China. Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0360544218321716
- Miskin, CK, Li, Y, Perna, A, Ellis, RG, Grubbs, EK, & … (2019). Sustainable co-production of food and solar power to relax land-use constraints. Nature …, nature.com, https://www.nature.com/articles/s41893-019-0388-x
- Jones, CB, Karin, T, Jain, A, Hobbs, WB, & … (2019). Geographic assessment of photovoltaic module environmental degradation stressors. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8980741/
- Jones, CB, & Hansen, CW (2019). Single diode parameter extraction from in-field photovoltaic IV curves on a single board computer. 2019 IEEE 46th Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8981330/
- Camargo, LR, Valdes, J, Macia, YM, & Dorner, W (2019). Assessment of on-site steady electricity generation from renewable energy sources in Chile. Energy Procedia, Elsevier, https://www.sciencedirect.com/science/article/pii/S1876610219302772
- Skomedal, Å, Øgaard, MB, Selj, J, Haug, H, & … (2019). General, robust, and scalable methods for string level monitoring in utility scale PV systems. 36th European …, researchgate.net, https://www.researchgate.net/profile/Asmund_Skomedal2/publication/337113457_General_Robust_and_Scalable_Methods_for_String_Level_Monitoring_in_Utility_Scale_PV_Systems/links/5dc5abdf4585151435f7da0c/General-Robust-and-Scalable-Methods-for-String-Level-Monitoring-in-Utility-Scale-PV-Systems.pdf
- Lorenz, E, Holland, N, Dittmann, A, Herzberg, W, & … (2019). Minute resolution measurement network for global horizontal and tilted solar irradiance for a transmission System Control Area in Southern Germany. …, ise.fraunhofer.de, https://www.ise.fraunhofer.de/content/dam/ise/de/documents/publications/conference-paper/37th-eupvsec-2020/Lorenz_5BO74.pdf
- Brown, PR, & O’Sullivan, FM (2019). Shaping photovoltaic array output to align with changing wholesale electricity price profiles. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261919314217
- Braga, M, Nascimento, LR do, & … (2019). Spectral Impacts on the Performance of mc-Si and New-Generation CdTe Photovoltaics in the Brazilian Northeast. 2019 IEEE 46th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8981152/
- Ascencio-Vásquez, J, Brecl, K, & Topič, M (2019). Methodology of Köppen-Geiger-Photovoltaic climate classification and implications to worldwide mapping of PV system performance. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X19308527
- Dickeson, G, McLeod, L, Dobb, A, Frearson, L, & … (2019). Ramp Rate Control For Pv Plant Integration: Experience From Karratha Airport’s Hybrid Power Station. 36th European …, arena.gov.au, https://arena.gov.au/assets/2017/02/ramp-rate-control-for-pv-plant-integration-experience-from-karratha-airports-hybrid-power-station.pdf
- Feng, C, Yang, D, Hodge, BM, & Zhang, J (2019). OpenSolar: Promoting the openness and accessibility of diverse public solar datasets. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X19306693
- Jurack, A, Mamari, J Al, Al-Riyami, S, Scheuren, J, & … (2019). Investigation of Soiling Effects on Solar Glass Covers in the Climate of Muscat, Oman., proceedings.ises.org, http://proceedings.ises.org/paper/swc2019/swc2019-0014-Jurack.pdf
- Leitão, J, Gil, P, Ribeiro, B, & … (2019). Smart Home Energy Management Supported by Cloud Computing. 2019 5th Experiment …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8876531/
- Patel, MT, Khan, MR, Sun, X, & Alam, MA (2019). A worldwide cost-based design and optimization of tilted bifacial solar farms. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261919305604
- Sánchez, C, Bloch, L, Holweger, J, Ballif, C, & Wyrsch, N (2019). Optimised heat pump management for increasing photovoltaic penetration into the electricity grid. Energies, mdpi.com, https://www.mdpi.com/451692
- Nagel, J (2019). Modeling in OEMOF. Optimization of Energy Supply Systems, Springer, https://doi.org/10.1007/978-3-319-96355-6_4
- Pedro, HTC, Larson, DP, & … (2019). A comprehensive dataset for the accelerated development and benchmarking of solar forecasting methods. Journal of Renewable and …, aip.scitation.org, https://doi.org/10.1063/1.5094494
- Dakir, S, Boukas, I, Lemort, V, & … (2019). Sizing and operation of an isolated microgrid with cold storage. 2019 IEEE Milan …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8810700/
- Camargo, LR, Valdes, J, Macia, YM, & Dorner, W (2019). Assessment of on-site steady electricity generation from hybrid renewable energy systems in Chile. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261919308591
- Hoffmann, MM, & Ansari, D (2019). Simulating the potential of swarm grids for pre-electrified communities–A case study from Yemen. Renewable and Sustainable Energy Reviews, Elsevier, https://www.sciencedirect.com/science/article/pii/S1364032119301819
- Lyden, A, & Tuohy, P (2019). A methodology for designing decentralised energy systems with predictive control for heat pumps and thermal storage. E3S Web of Conferences, e3s-conferences.org, https://www.e3s-conferences.org/articles/e3sconf/abs/2019/37/e3sconf_clima2019_06014/e3sconf_clima2019_06014.html
- Lyden, A, & Tuohy, P (2019). Heat pump and thermal storage sizing with time-of-use electricity pricing., strathprints.strath.ac.uk, https://strathprints.strath.ac.uk/71085/
- Nassar, YF, & Alsadi, SY (2019). Assessment of solar energy potential in Gaza Strip-Palestine. Sustainable Energy Technologies and Assessments, Elsevier, https://www.sciencedirect.com/science/article/pii/S221313881830331X
- Iovine, A, Rigaut, T, Damm, G, Santis, E De, & … (2019). Power management for a DC MicroGrid integrating renewables and storages. Control Engineering …, Elsevier, https://www.sciencedirect.com/science/article/pii/S0967066119300048
- Qi, B, Rashedi, M, & Ardakanian, O (2019). Energyboost: Learning-based control of home batteries. Proceedings of the Tenth ACM …, dl.acm.org, https://doi.org/10.1145/3307772.3328279
- Château, PA, Wunderlich, RF, Wang, TW, Lai, HT, & … (2019). Mathematical modeling suggests high potential for the deployment of floating photovoltaic on fish ponds. Science of the total …, Elsevier, https://www.sciencedirect.com/science/article/pii/S004896971932474X
- Walker, L, Hofer, J, & Schlueter, A (2019). High-resolution, parametric BIPV and electrical systems modeling and design. Applied energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261918319044
- Al-Kurdi, N, Pillot, B, Gervet, C, & Linguet, L (2019). Towards robust scenarios of spatio-temporal renewable energy planning: A GIS-RO approach. International Conference on …, Springer, https://doi.org/10.1007/978-3-030-30048-7_42
- Peronato, G (2019). Urban planning support based on the photovoltaic potential of buildings: a multi-scenario ranking system., infoscience.epfl.ch, https://infoscience.epfl.ch/record/262890
- Niño, LP Oñate (2019). Desarrollo de un modelo computacional para analizar el comportamiento de parques de generación de energía solar fotovoltaica., repositorio.uniandes.edu.co, https://repositorio.uniandes.edu.co/handle/1992/45218
- Joshi, B, Kay, M, Copper, JK, & Sproul, AB (2019). Evaluation of solar irradiance forecasting skills of the Australian Bureau of Meteorology’s ACCESS models. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X19305778
- Sala, S, Amendola, A, Leva, S, Mussetta, M, Niccolai, A, & … (2019). Comparison of data-driven techniques for nowcasting applied to an industrial-scale photovoltaic plant. Energies, mdpi.com, https://www.mdpi.com/583314
- Lane, R (2019). The design and simulation in Python of a model predictive control system to maximise use of local renewables in a heat network with thermal storage.., esru.strath.ac.uk, http://www.esru.strath.ac.uk/Documents/MSc_2019/Lane.pdf
- Paudyal, B, Bolen, M, & Fregosi, D (2019). PV plant performance loss rate assessment: Significance of data filtering and aggregation. 2019 IEEE 46th Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8981247/
- Terlouw, T, AlSkaif, T, Bauer, C, & Sark, W van (2019). Optimal energy management in all-electric residential energy systems with heat and electricity storage. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261919312541
- Alatawi, H (2019). Determining an Optimal Level of Power System Investments Under Large Scale Penetration of Solar Power in Saudi Arabia., diva-portal.org, https://www.diva-portal.org/smash/get/diva2:1414138/FULLTEXT01.pdf
- Gamarro, H, Gonzalez, JE, & … (2019). On the assessment of a numerical weather prediction model for solar photovoltaic power forecasts in cities. Journal of Energy …, asmedigitalcollection.asme.org, https://asmedigitalcollection.asme.org/energyresources/article-abstract/141/6/061203/725725
- Sossan, F, Scolari, E, Gupta, R, & … (2019). Solar irradiance estimations for modeling the variability of photovoltaic generation and assessing violations of grid constraints: A comparison between satellite and …. Journal of Renewable and …, aip.scitation.org, https://doi.org/10.1063/1.5109076
- Auer, S, Liße, J, Mandha, SR, & … (2019). Power-flow-constrained asset optimization for off-grid power systems using selected Open-Source frameworks. Proceedings of the 4th …, hybridpowersystems.org, https://hybridpowersystems.org/crete2019/wp-content/uploads/sites/13/2020/03/6B_2_HYB19_029_paper_Auer_Sabine.pdf
- Kam, M Van Der, Peters, A, Sark, W Van, & Alkemade, F (2019). Agent-based modelling of charging behaviour of electric vehicle drivers. JASSS, dspace.library.uu.nl, https://dspace.library.uu.nl/handle/1874/387983
- Zhou, Z, Wang, Z, & Bermel, P (2019). Radiative cooling for low-bandgap photovoltaics under concentrated sunlight. Optics express, osapublishing.org, https://www.osapublishing.org/abstract.cfm?uri=oe-27-8-A404
- Pelaez, SA (2019). Bifacial solar panels system design, modeling, and performance., search.proquest.com, https://search.proquest.com/openview/6c20a34c4344792b7b84254ba44e4a8f/1?pq-origsite=gscholar&cbl=18750&diss=y
- Lovati, M, Salvalai, G, Fratus, G, Maturi, L, & … (2019). New method for the early design of BIPV with electric storage: A case study in northern Italy. Sustainable Cities and …, Elsevier, https://www.sciencedirect.com/science/article/pii/S2210670718313167
- Gueymard, CA, Bright, JM, Lingfors, D, Habte, A, & … (2019). A posteriori clear-sky identification methods in solar irradiance time series: Review and preliminary validation using sky imagers. … and Sustainable Energy …, Elsevier, https://www.sciencedirect.com/science/article/pii/S1364032119302382
- Kraus, P, Massué, C, Heumann, S, & … (2019). Reliable long-term performance assessment of commercial photovoltaic modules tested under field conditions over 5 years. Journal of Renewable …, aip.scitation.org, https://doi.org/10.1063/1.5128171
- Vrettos, E, Kara, EC, Stewart, EM, & … (2019). Estimating PV power from aggregate power measurements within the distribution grid. Journal of Renewable …, aip.scitation.org, https://doi.org/10.1063/1.5094161
- Blaga, R (2019). The impact of temporal smoothing on the accuracy of separation models. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X19308709
- Zapata, MZ, Wu, E, & Kleissl, J (2019). Irradiance enhancement events in the coastal Stratocumulus dissipation process. Santiago, proceedings.ises.org, http://proceedings.ises.org/paper/swc2019/swc2019-0199-ZamoraZapata.pdf
- Gašparović, I, Gašparović, M, Medak, D, & Zrinjski, M (2019). Analysis of Solar Potential Spatial Data for Croatia. Geodetski list, hrcak.srce.hr, https://hrcak.srce.hr/clanak/319451
- Carpentier, P, Chancelier, JP, Lara, M De, & Rigaut, T (2019). Algorithms for two-time scales stochastic optimization with applications to long term management of energy storage., hal.archives-ouvertes.fr, https://hal.archives-ouvertes.fr/hal-02013969/
- Hertsberg, A (2019). A statistical approach for assessing cloud conditions using photovoltaic solar electricity production data., aaltodoc.aalto.fi, https://aaltodoc.aalto.fi/bitstream/handle/123456789/41704/master_Hertsberg_Axel_2019.pdf?sequence=1
- Gašparović, I, Gašparović, M, Medak, D, & … (2019). Analiza prostornih podataka o solarnom potencijalu za Hrvatsku. Geodetski list …, researchgate.net, https://www.researchgate.net/profile/Mateo-Gasparovic/publication/332415521_Analysis_of_Solar_Potential_Spatial_Data_for_Croatia/links/5cb4670792851c8d22ec533e/Analysis-of-Solar-Potential-Spatial-Data-for-Croatia.pdf
- Souza, BM (2019). Algoritmo de Projeto e Gestão de Subsistema de Alimentação Baseado em Energia Solar para Redes de Sensores Sem Fios., recipp.ipp.pt, https://recipp.ipp.pt/handle/10400.22/15778
- Kannengießer, T, Hoffmann, M, Kotzur, L, Stenzel, P, & … (2019). Reducing computational load for mixed integer linear programming: an example for a district and an island energy system. Energies, mdpi.com, https://www.mdpi.com/501302
- Leedy, AW, & Abdelraziq, M (2019). Modeling PV Modules Using Simulink/MATLAB under Varying Conditions. 2019 SoutheastCon, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9020537/
- Bird, J (2019). Atmospherically Aware Aircraft Guidance Using In Situ Observations., search.proquest.com, https://search.proquest.com/openview/19bbb87b2d8568b57e0b5655fa3aaf96/1?pq-origsite=gscholar&cbl=44156
- Mathe, J, Miolane, N, Sebastien, N, & Lequeux, J (2019). PVNet: A LRCN architecture for spatio-temporal photovoltaic PowerForecasting from numerical weather prediction. arXiv preprint arXiv …, arxiv.org, https://arxiv.org/abs/1902.01453
- Meunier, S, Heinrich, M, Quéval, L, Cherni, JA, Vido, L, & … (2019). A validated model of a photovoltaic water pumping system for off-grid rural communities. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261919304349
- Jordan, DC, Deline, C, Deceglie, MG, & … (2019). Reducing interanalyst variability in photovoltaic degradation rate assessments. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8876837/
- Bidikar, N, Rajitha, K, & Supriya, PU (2019). A Novel Universal Solar Energy Predictor. arXiv preprint arXiv:1902.06660, arxiv.org, https://arxiv.org/abs/1902.06660
- Lucas, C, Guemri, M, & Tran, QT (2019). Impact of consumer profiles and forecast accuracy on day-ahead scheduling of household appliances. 2019 IEEE International …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8783899/
- Suk, H, & Hall, J (2019). Integrating quality of life in sociotechnical design: a review of microgrid design tools and social indicators. International Design Engineering …, asmedigitalcollection.asme.org, https://asmedigitalcollection.asme.org/IDETC-CIE/proceedings-abstract/IDETC-CIE2019/V02BT03A047/1069848
- Brady, J, Chu, C, Colter, E, & … (2019). Methodology for Climate Central’s WeatherPowerTM (Wind and Solar Electricity Forecaster), version 2.0. Climate …, wp-static-prod.s3.amazonaws.com, http://wp-static-prod.s3.amazonaws.com/WeatherPower_v2.0_Methodology_20Sep2019.pdf
- Bruck, A (2019). Artificial Intelligence in rural offgrid Polygeneration Systems:: A Case Study with RVE. Sol focusing on Electricity Supply & Demand Balancing., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1372646
- Fonseca, JA, Hanif, S, Sreepathi, BK, Troitzsch, S, & … (2019). Connecting District Energy and Power Systems for Future Singaporean New Towns (CONCEPT)., research-collection.ethz.ch, https://www.research-collection.ethz.ch/handle/20.500.11850/401217
- Prinsloo, FC (2019). Development of a GIS-based decision support tool for environmental impact assessment and due-diligence analyses of planned agricultural floating solar …. University of South Africa, agrisolarclearinghouse.org, https://www.agrisolarclearinghouse.org/wp-content/uploads/2021/11/DEVELOPMENT-OF-A-GIS-BASED-DECISION-SUPPORT.pdf
- Gong, J (2019). Optimisation of charging strategies and energy storage operation for a solar driven charging station., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1423614
- Memmel, E, Peters, D, Völker, R, Schuldt, F, & … (2019). Simulation of vertical power flow at MV/HV transformers for quantification of curtailed renewable power. IET Renewable, https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/iet-rpg.2019.0218.
- Schniewind, BSM (2019). Tackling challenges in a decentralised multi-agent smart grid with biomimetic stability mechanisms and unsupervised control–A first approach., researchgate.net, https://www.researchgate.net/profile/Matthias-Schniewind-2/publication/332029214_Tackling_challenges_in_a_decentralised_multi-agent_smart_grid_with_biomimetic_stability_mechanisms_and_unsupervised_control_-_A_first_approach/links/5c9b91c6a6fdccd4603f15f8/Tackling-challenges-in-a-decentralised-multi-agent-smart-grid-with-biomimetic-stability-mechanisms-and-unsupervised-control-A-first-approach.pdf
- Peet, BJA (2019). Accurate estimation of temperature distributions for IR signature monitoring with a dynamic thermal model and data assimilation. Target and Background Signatures V, spiedigitallibrary.org
- Bird, JJ, Richardson, SJ, & Langelaan, JW (2019). Estimating the vertical structure of weather-induced mission costs for small UAS. Sensors, mdpi.com, https://www.mdpi.com/482974
- Baumann, VAR (2019). Viabilidade econômico-financeira de sistemas fotovoltaicos conectados à rede em Florianópolis-SC utilizando dados monitorados e simulados do primeiro ano., repositorio.ifsc.edu.br, https://repositorio.ifsc.edu.br/bitstream/handle/123456789/1281/TCC%20-%20Victor%20A%20R%20Baumann.pdf?sequence=1
- Bloch, L, Holweger, J, Ballif, C, & Wyrsch, N (2019). Impact of advanced electricity tariff structures on the optimal design, operation and profitability of a grid-connected PV system with energy storage. Energy Informatics, Springer, https://doi.org/10.1186/s42162-019-0085-z
- Qi, B (2019). Learning to Control Home Batteries in the Smart Grid., era.library.ualberta.ca, https://era.library.ualberta.ca/items/58d6cb74-6652-4c18-be88-ff83630d10d9
- Toledo, C, Serrano-Lujan, L, Abad, J, Lampitelli, A, & … (2019). Measurement of thermal and electrical parameters in photovoltaic systems for predictive and cross-correlated monitorization. Energies, mdpi.com, https://www.mdpi.com/414352
- Yang, J (2019). Designing Deployment Policies to Maximize the Co-benefits of China’s Clean Energy Transition., search.proquest.com, https://search.proquest.com/openview/02ef8875db78344e045b7e5c7087ccda/1?pq-origsite=gscholar&cbl=18750&diss=y
- Brolese, RR (2019). Previsão de geração de energia fotovoltaica utilizando método de aprendizado de máquina., repositorio.ucs.br, https://repositorio.ucs.br/xmlui/handle/11338/6132
- Castillo, A, Flicker, J, Hansen, CW, & … (2019). Stochastic optimisation with risk aversion for virtual power plant operations: a rolling horizon control. IET Generation …, ieeexplore.ieee.org.
- Less, B, Walker, I, Slack, J, Rainer, L, & Levinson, R (2019). Sealed and Insulated Attic Hygrothermal Performance in New California Homes Using Vapor and Air Permeable Insulation—Field Study and Simulation., escholarship.org, https://escholarship.org/uc/item/5m0052v8
- Arias, CA Toledo, Luján, L Serrano, López, J Abad, & … (2019). Measurement of thermal and electrical parameters in photovoltaic systems for predictive and cross-correlated monitorization., repositorio.upct.es, https://repositorio.upct.es/handle/10317/9710
- French, R, Braid, JL, & Liu, JQ (2019). Module Level Exposure and Evaluation Test (MLEET) for Real-world and Laboratory-based PV Modules: Common Data and Analytics for Quantitative Cross …., osti.gov, https://www.osti.gov/biblio/1529093
- Stainsby, WJ (2019). Disaggregation of net-metered advanced metering infrastructure data to estimate photovoltaic generation., search.proquest.com, https://search.proquest.com/openview/978297252d3c3d422e52c61bf3d64328/1?pq-origsite=gscholar&cbl=51922&diss=y
- Li, D (2019). Micro optics for micro hybrid concentrator photovoltaics., dspace.mit.edu, https://dspace.mit.edu/handle/1721.1/123563
- Edington, ANC (2019). The role of long duration energy storage in decarbonizing power systems., dspace.mit.edu, https://dspace.mit.edu/handle/1721.1/122095
- Gonzalez-Cruz, JE, Arend, M, Legbandt, T, & … (2019). Method for forecasting energy demands that incorporates urban heat island. US Patent App. 16 …, Google Patents, https://patents.google.com/patent/US20190139163A1/en
- Nyirenda, E (2019). Conjunctive Operation of Hydro and Solar PV Power with Pumped Storage at Kafue Gorge Power Station (Zambia)., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1334218
- Pujol, R Colom (2019). Estudi de diferents opcions d’integració de generació fotovoltaica en edificis., upcommons.upc.edu, https://upcommons.upc.edu/handle/2117/128705
- Besseau, R (2019). Analyse de cycle de vie de scénarios énergétiques intégrant la contrainte d’adéquation temporelle production-consommation., theses.fr, https://www.theses.fr/2019PSLEM068
2018
- Holmgren, WF, Hansen, CW, & … (2018). pvlib python: A python package for modeling solar energy systems. Journal of Open Source …, joss.theoj.org, https://doi.org/10.21105/joss.00884
- Hansen, C (2018). What? s new in PVLib and pvlib-python?.., osti.gov, https://www.osti.gov/servlets/purl/1513354
- PVLIB-Python, API (2018). reference [WWW Document], 2018. … //pvlib-python. readthedocs. io/en/latest/generated/pvlib …
- Collaborative, PVPM (2018). PVLIB toolbox.
- Kallio, V, & Riihelä, A (2018). Comparative Validation of Clear Sky Irradiance Models over Finland. IGARSS 2018-2018 IEEE International …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8519270/
- Holmgren, WF, Hansen, CW, Stein, JS, & … (2018). Review of open source tools for PV modeling. 2018 IEEE 7th World …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8548231/
- Riley, D, Stein, J, & Hansen, C (2018). 2018 IEEE PVSC Tutorial PV System Modeling.., osti.gov, https://www.osti.gov/servlets/purl/1511110
- Ellis, BH, Deceglie, M, & Jain, A (2018). Automatic detection of clear-sky periods using ground and satellite based solar resource data. … )(A Joint Conference of 45th IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8547877/
- 김태영, & 김진호 (2018). 서포트 벡터 회귀와 파이썬 라이브러리를 활용한 태양광 발전량 예측. 대한전기학회학술대회논문집, dbpia.co.kr, https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE07532390
- Stein, JS, & Lavrova, O (2018). Final Project Report: PV Stakeholder Engagement Initiatives., osti.gov, https://www.osti.gov/biblio/1481543
- Klise, KA (2018). Pecos-Open Source Software for PV System Monitoring.., osti.gov, https://www.osti.gov/servlets/purl/1525601
- Hansen, C (2018). Photovoltaic And Renewable Energy Systems Research.., osti.gov, https://www.osti.gov/servlets/purl/1806947
- John, JJ, Alnuaimi, A, Elnosh, A, & … (2018). Estimating degradation rates from 27 different PV modules installed in desert conditions using the NREL/Rdtools. 2018 IEEE 7th World …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8547283/
- Potter, BG, Simmons-Potter, K, & … (2018). Broad-Time-Horizon Solar Power Prediction and PV Performance Degradation Research at the University of Arizona. 2018 IEEE 7th World …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8547422/
- Berrueta, A, Heck, M, Jantsch, M, Ursúa, A, & Sanchis, P (2018). Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic …. Applied energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261918309279
- Ho, CK (2018). Solar Technology Research at Sandia: PV and CSP (presentation).., osti.gov, https://www.osti.gov/servlets/purl/1592672
- Luo, W, Khoo, YS, Hacke, P, Jordan, D, & … (2018). Analysis of the long-term performance degradation of crystalline silicon photovoltaic modules in tropical climates. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8520911/
- Bhattacharya, S, Leopold, U, Braun, C, & Bongiovanni, F (2018). Solar Energy Potential Assessment for entire Cities-a reusable and scalable approach., scholarsarchive.byu.edu, https://scholarsarchive.byu.edu/iemssconference/2018/Stream-A/62/
- Litjens, G, Worrell, E, & Sark, W Van (2018). Assessment of forecasting methods on performance of photovoltaic-battery systems. Applied Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261918305014
- Luján, E, Otero, A, Valenzuela, S, Mocskos, E, & … (2018). Cloud computing for smart energy management (CC-SEM project). … -American Congress of …, Springer, https://doi.org/10.1007/978-3-030-12804-3_10
- Rognan, LMH (2018). Photovoltaic Power Prediction and Control Strategies of the Local Storage Unit at Campus Evenstad., ntnuopen.ntnu.no, https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/2570005
- Yang, D (2018). SolarData: An R package for easy access of publicly available solar datasets. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X18306583
- Camargo, LR, Nitsch, F, Gruber, K, & Dorner, W (2018). Electricity self-sufficiency of single-family houses in Germany and the Czech Republic. Applied energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261918309875
- Alonso-Álvarez, D, Wilson, T, Pearce, P, Führer, M, & … (2018). Solcore: a multi-scale, Python-based library for modelling solar cells and semiconductor materials. Journal of …, Springer, https://doi.org/10.1007/s10825-018-1171-3
- Craig, MT, Jaramillo, P, Hodge, BM, Williams, NJ, & … (2018). A retrospective analysis of the market price response to distributed photovoltaic generation in California. Energy policy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0301421518303781
- Moreno, S Aguacil, Peronato, G, Lufkin, S, & … (2018). Assessment of the building-integrated photovoltaic potential in urban renewal processes in the Swiss context: complementarity of urban-and architectural-scale …. Smart and Healthy …, upcommons.upc.edu, https://upcommons.upc.edu/handle/2117/130986
- Lee, KH, Araki, K, Kojima, N, & … (2018). Achieving wide-acceptance angle and high on-axis performance static low-concentration module using hybrid lens arrays. AIP Conference …, aip.scitation.org, https://doi.org/10.1063/1.5053514
- Stein, J (2018). Opportunities for New and Innovative Photovoltaic Modules and Systems.., osti.gov, https://www.osti.gov/servlets/purl/1514776
- Ascencio-Vásquez, J, Brecl, K, & … (2018). Köppen-Geiger-photovoltaic climate classification. 2018 IEEE 7th World …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8547952/
- Chen, D, Breda, J, & Irwin, D (2018). Staring at the sun: a physical black-box solar performance model. Proceedings of the 5th Conference on …, dl.acm.org, https://doi.org/10.1145/3276774.3276782
- Smithpeter, I (2018). ASES National Solar Conference 2018 A Low-Cost IoT Approach to Real-Time Cloud Motion Detection., proceedings.ises.org, http://proceedings.ises.org/paper/solar2018/solar2018-0012-Smithpeter.pdf
- Dallapiccola, M, Ingenhoven, P, Moser, D, & … (2018). Simplified Method for Partial Shading Losses Calculation for Series Connected PV Modules with Experimental Validation. 35th Eur. Photovolt. Sol …, researchgate.net, https://www.researchgate.net/profile/Mattia-Dallapiccola/publication/330307560_SIMPLIFIED_METHOD_FOR_PARTIAL_SHADING_LOSSES_CALCULATION_FOR_SERIES_CONNECTED_PV_MODULES_WITH_EXPERIMENTAL_VALIDATION/links/5c38486e299bf12be3be484c/SIMPLIFIED-METHOD-FOR-PARTIAL-SHADING-LOSSES-CALCULATION-FOR-SERIES-CONNECTED-PV-MODULES-WITH-EXPERIMENTAL-VALIDATION.pdf
- Irigoyen, A Berrueta, Heck, M, & … (2018). Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants. … Energy, 228 (2018 …, academica-e.unavarra.es, https://academica-e.unavarra.es/handle/2454/33235
- Bognár, Á, Loonen, R, Valckenborg, RME, & Hensen, JLM (2018). An unsupervised method for identifying local PV shading based on AC power and regional irradiance data. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X18309873
- Mountain, B, & Kars, A (2018). Using electricity bills to shine a light on rooftop solar photovoltaics in Australia: A comparison of prices, volumes and socio-economic rank of households with …., vuir.vu.edu.au, https://vuir.vu.edu.au/41864/1/Solar_Citizens_FINAL_Report_23_NOVEMBER_2018.pdf
- Hilpert, S, Kaldemeyer, C, Krien, U, Günther, S, & … (2018). The Open Energy Modelling Framework (oemof)-A new approach to facilitate open science in energy system modelling. Energy strategy …, Elsevier, https://www.sciencedirect.com/science/article/pii/S2211467X18300609
- Lee, KH, Araki, K, & Yamaguchi, M (2018). Achieving high efficiency static low-concentration photovoltaic module using hybrid lens arrays. … PVSC, 28th PVSEC & 34th EU …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8547928/
- Sehnem, JM, Michels, L, & … (2018). SIMULAÇÕES NUMÉRICAS PARA DETERMINAÇÃO DE INCLINAÇÕES ÓTIMAS PARA MÓDULOS FOTOVOLTAICOS. … de Energia Solar …, anaiscbens.emnuvens.com.br, http://anaiscbens.emnuvens.com.br/cbens/article/view/723
- Groenendyk, D (2018). cons2_Python Documentation., media.readthedocs.org, https://media.readthedocs.org/pdf/cons2-python/master/cons2-python.pdf
- Kumler, A, Xie, Y, & Zhang, Y (2018). A new approach for short-term solar radiation forecasting using the estimation of cloud fraction and cloud albedo., osti.gov, https://www.osti.gov/biblio/1476449
- Khosrojerdi, F, Gagnon, S, & Valverde, R (2018). Using Software Quality Evaluation Standard Model for Managing Software Development Projects in Solar Sector., spectrum.library.concordia.ca, https://spectrum.library.concordia.ca/id/eprint/984517/
- Litjens, GBMA, Kausika, BB, Worrell, E, & Sark, W van (2018). A spatio-temporal city-scale assessment of residential photovoltaic power integration scenarios. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X18309496
- Sun, X, Khan, MR, Deline, C, & Alam, MA (2018). Optimization and performance of bifacial solar modules: A global perspective. Applied energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261917317567
- Hobbs, WB, Lave, M, & … (2018). Simulating High-Frequency Generation Profiles for Large Solar PV Portfolios. 2018 IEEE 7th World …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8547850/
- Pelaez, SA, Deline, CA, Greenberg, P, Stein, J, & Kostuk, R (2018). Model and Validation of Single-Axis Tracking with Bifacial Photovoltaics., osti.gov, https://www.osti.gov/biblio/1478728
- Riihelä, A, Kallio, V, Devraj, S, Sharma, A, & Lindfors, AV (2018). Validation of the SARAH-E satellite-based surface solar radiation estimates over India. Remote Sensing, mdpi.com, https://www.mdpi.com/269038
- Zhao, B, Sun, X, & Alam, MA (2018). Online Simulation Tools for Global Photovoltaic Performance: Purdue University Meteorological Tool (PUMET) and Bifacial Module Calculator (PUB). 2018 IEEE 7th World Conference on …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8547981/
- Nazarian, N, Sin, T, & Norford, L (2018). Numerical modeling of outdoor thermal comfort in 3D. Urban climate, Elsevier, https://www.sciencedirect.com/science/article/pii/S2212095518300786
- Nunnari, G (2018). Forecasting the Class of Daily Clearness Index for PV Applications.. ICINCO (1), pdfs.semanticscholar.org, https://pdfs.semanticscholar.org/ed6a/8901b1adf3e6d15c3747968e718e1f3eacdd.pdf
- Prada, J, & Dorronsoro, JR (2018). General noise support vector regression with non-constant uncertainty intervals for solar radiation prediction. … of Modern Power Systems and Clean …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/9024331/
- Gašparović, I, Gašparović, M, & Medak, D (2018). Determining and analysing solar irradiation based on freely available data: A case study from Croatia. Environmental Development, Elsevier, https://www.sciencedirect.com/science/article/pii/S2211464517302105
- Boudon, F, Persello, S, Grechi, I, Marquier, A, & … (2018). Assessing the role of ageing and light availability in leaf mortality in the mango tree. … Systems of 1281, actahort.org, https://www.actahort.org/books/1281/1281_79.htm
- Duan, J, McKenna, A, Kooten, GC Van, & Liu, S (2018). Renewable Electricity Grids, Battery Storage and Missing Money: An Alberta Case Study., ageconsearch.umn.edu, https://ageconsearch.umn.edu/record/277525/
- Stein, J (2018). Solar PV Performance and New Technologies in Northern Latitude Regions.., osti.gov, https://www.osti.gov/servlets/purl/1510188
- Yang, J, Li, X, Peng, W, Wagner, F, & … (2018). Climate, air quality and human health benefits of various solar photovoltaic deployment scenarios in China in 2030. Environmental …, iopscience.iop.org, https://doi.org/10.1088/1748-9326/aabe99
- Lindig, S, Ingenhoven, PC, Belluardo, G, & … (2018). Evaluation of Technology-Dependent Maximum Power Point Current and Voltage Degradation in a Temperate Climate. EUPVSEC European PV …, bia.unibz.it, https://bia.unibz.it/esploro/outputs/conferenceProceeding/Evaluation-of-Technology-Dependent-Maximum-Power-Point-Current-and-Voltage-Degradation-in-a-Temperate-Climate/991005773038401241
- Tzikas, C, Valckenborg, RME, & … (2018). Outdoor characterization of colored and textured prototype PV facade elements. 35th European …, researchgate.net, https://www.researchgate.net/profile/Chris-Tzikas/publication/330349994_Outdoor_Characterization_of_Colored_and_Textured_Prototype_PV_Facade_Elements/links/5c3b0d62458515a4c7225c4d/Outdoor-Characterization-of-Colored-and-Textured-Prototype-PV-Facade-Elements.pdf
- Scolari, E, Sossan, F, Haure-Touzé, M, & Paolone, M (2018). Local estimation of the global horizontal irradiance using an all-sky camera. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X18308119
- Nascimento, MMS (2018). Optimization of memory usage in quantum computing simulation., repositorio.ufpel.edu.br, http://repositorio.ufpel.edu.br:8080/handle/prefix/4355
- Stein, J (2018). The Disruption of Future PV Developments.., osti.gov, https://www.osti.gov/servlets/purl/1512004
- Raker, D, Kini, R, Huntsman, R, Green, M, & … (2018). Transactive Mitigation Of Variability In The Output Of 1 MW Photovoltaic Array Using VolttronTM. 2018 IEEE 7th World …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8548242/
- Gurupira, TL (2018). Evaluation and optimisation of photovoltaic (PV) plant designs., scholar.sun.ac.za, http://scholar.sun.ac.za/handle/10019.1/103499
- Woodruff, DL, Deride, J, Staid, A, Watson, JP, Slevogt, G, & … (2018). Constructing probabilistic scenarios for wide-area solar power generation. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X17310605
- Peronato, G, Rastogi, P, Rey, E, & Andersen, M (2018). A toolkit for multi-scale mapping of the solar energy-generation potential of buildings in urban environments under uncertainty. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X18307862
- Mejia, JF, Giordano, M, & Wilcox, E (2018). Conditional summertime day-ahead solar irradiance forecast. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X18301154
- Gamarro, H, Gonzalez, JE, & … (2018). Urban WRF-Solar Validation and Potential for Power Forecast in New York City. Energy …, asmedigitalcollection.asme.org, https://asmedigitalcollection.asme.org/ES/proceedings-abstract/ES2018/V001T09A001/269942
- Spiess, R (2018). Imitation Learning for Photovoltaic Power Fluctuation., research-collection.ethz.ch, https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/303532/1/Spiess_Robin.pdf
- Ruth, D, & Muller, M (2018). A methodology to analyze photovoltaic tracker uptime. Progress in Photovoltaics: Research and …, Wiley Online Library, https://doi.org/10.1002/pip.3002
- Lago, J, Brabandere, K De, Ridder, F De, & … (2018). A generalized model for short-term forecasting of solar irradiance. … IEEE Conference on …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8618693/
- Hafez, AAA, & Alblawi, A (2018). A feasibility study of PV installation: Case study at Shaqra University. 2018 9th International Renewable …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8362486/
- Litjens, G, Worrell, E, & Sark, W Van (2018). Economic benefits of combining self-consumption enhancement with frequency restoration reserves provision by photovoltaic-battery systems. Applied energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261918305622
- Bognár, Á, Loonen, R, Valckenborg, RME, & … (2018). Modeling reflected irradiance in urban environments–a case study for simulation-based measurement quality control for an outdoor PV test site. … Energy Conference and …, pure.tue.nl, https://pure.tue.nl/ws/files/110724078/6DO.10.4_paper.pdf
- Bruinewoud, M (2018). Assessing the performance of the Utrecht Science Park PV system.
- Moraitis, P, Kausika, BB, Nortier, N, & Sark, W Van (2018). Urban environment and solar PV performance: the case of the Netherlands. Energies, mdpi.com, https://www.mdpi.com/297244
- Klise, KA, & Hart, D (2018). Pecos and Canary Webinar.., osti.gov, https://www.osti.gov/servlets/purl/1511107
- Taghezouit, B, Arab, A Hadj, Larbes, C, & … (2018). Dynamic Modelling and Performance Analysis for a Grid-Connected PV System under LabVIEW. … Seminar on New and …, researchgate.net, https://www.researchgate.net/profile/A-Hadj-Arab/publication/328601814_Dynamic_Modelling_and_Performance_Analysis_for_a_Grid-Connected_PV_System_under_LabVIEW/links/610931a9169a1a0103d4fa4f/Dynamic-Modelling-and-Performance-Analysis-for-a-Grid-Connected-PV-System-under-LabVIEW.pdf
- Massidda, L, & Marrocu, M (2018). Quantile regression post-processing of weather forecast for short-term solar power probabilistic forecasting. Energies, mdpi.com, https://www.mdpi.com/312484
- Dzurick, MR (2018). Exploration of Sensor Systems for Increasing the Accuracy of Photovoltaic Modeling Application to the TEP/AzRISE Solar Test Yard., search.proquest.com, https://search.proquest.com/openview/6c20a34c4344792b63248cd4e46a4d08/1?pq-origsite=gscholar&cbl=18750&diss=y
- Kam, MJ Van der, Meelen, AAH, Sark, W Van, & … (2018). Diffusion of solar photovoltaic systems and electric vehicles among Dutch consumers: Implications for the energy transition. Energy research & …, Elsevier, https://www.sciencedirect.com/science/article/pii/S2214629618305875
- MacAlpine, SM, Wolfrom, CW, & … (2018). Evaluation of Irradiance Transposition Models When Utilized with Single Axis Tracking PV Systems in the Southwestern United States. 2018 IEEE 7th World …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8547777/
- Hariharan, A, Karady, GG, & … (2018). Application of Machine Learning Algorithm to Forecast Load and Development of a Battery Control Algorithm to Optimize PV System Performance in Phoenix, Arizona. 2018 North American …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8600594/
- Buffat, R, Grassi, S, & Raubal, M (2018). A scalable method for estimating rooftop solar irradiation potential over large regions. Applied energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0306261918301272
- DiOrio, NA, Blair, NJ, Freeman, JM, Habte, AM, & … (2018). Solar System Modeling at NREL., osti.gov, https://www.osti.gov/biblio/1477226
- Lago, J, Brabandere, K De, Ridder, F De, & Schutter, B De (2018). Short-term forecasting of solar irradiance without local telemetry: A generalized model using satellite data. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X18307138
- Øgaard, MB, Haug, H, & Selj, JHK (2018). Methods for quality control of monitoring data from commercial PV systems. Proceedings of the European …, duo.uio.no, https://www.duo.uio.no/handle/10852/71679
- Dupin, N (2018). Portfolio balancing strategy for the integration of renewable energy sources to the day ahead market., diva-portal.org, https://www.diva-portal.org/smash/record.jsf?pid=diva2:1295919
- Schweighofer, B, Buchroithner, A, & … (2018). Generic Simulation Framework for Grid-Connected Photovoltaic and Energy Storage Systems. 2018 IEEE Green …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8745548/
- Narayan, N, Vega-Garita, V, Qin, Z, & … (2018). A modeling methodology to evaluate the impact of temperature on Solar Home Systems for rural electrification. 2018 IEEE …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8398756/
- Stein, J (2018). FY2018 PV Lifetime Annual Report.., osti.gov, https://www.osti.gov/servlets/purl/1484335
- Li, X (2018). Radiative Effects of Atmospheric Aerosols and Impacts on Solar Photovoltaic Electricity Generation., search.proquest.com, https://search.proquest.com/openview/e669cd1478b33d5212c565885a26944c/1?pq-origsite=gscholar&cbl=18750
- Prisikar, M (2018). Feasibility study of renovation of a residential building in near zero-energy building., aaltodoc.aalto.fi, https://aaltodoc.aalto.fi/handle/123456789/32460
- Beebe, NHF (2018). A Complete Bibliography of Publications in the Journal of Open Source Software., netlib.org, http://www.netlib.org/tex/bib/joss.pdf
- Prieto, E Castillo (2018). Predicción de Energía Fotovoltaica a partir de Ensembles NWP., repositorio.uam.es, https://repositorio.uam.es/handle/10486/685414
- Mountain, B, Percy, S, Kars, A, Saddler, H, & Billimoria, F (2018). Does renewable electricity generation reduce electricity prices?., apo.org.au, https://apo.org.au/node/226981
- Litjens, G (2018). Here comes the sun: Improving local use of electricity generated by rooftop photovoltaic systems., dspace.library.uu.nl, https://dspace.library.uu.nl/handle/1874/373082
- Edition, F (2018). A Solar Design Manual for Alaska., acep.uaf.edu, https://acep.uaf.edu/media/260463/EEM-01255_SolarDesignManual_5thEd201805.pdf
- Nagel, J (2018). Optimization of Energy Supply Systems., Springer, https://doi.org/10.1007/978-3-319-96355-6
- Touz, N Le (2018). Conception et étude d’infrastructures de transports à énergie positive: de la modélisation thermomécanique à l’optimisation de tels systèmes énergétiques., tel.archives-ouvertes.fr, https://tel.archives-ouvertes.fr/tel-01959310/
- Agutu, CO (2018). Influence of spectral beam splitting on the performance of polycrystalline silicon PV cells., repository.up.ac.za, https://repository.up.ac.za/handle/2263/66384
- Krishnamurthy, CKB, Vesterberg, M, Böök, H, & … (2018). Real-time pricing revisited: Demand flexibility in the presence of micro-generation. Energy policy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0301421518305524
- Wilson, TA (2018). Evaluating the Effectiveness of Current Atmospheric Refraction Models in Predicting Sunrise and Sunset Times., search.proquest.com, https://search.proquest.com/openview/22ac065f7c59d07245c502279b2849eb/1?pq-origsite=gscholar&cbl=18750
- Huuki, H, Karhinen, S, Böök, H, Lindfors, AV, & … (2018). Virtual Power Plant Operation with Solar Power Forecast Errors and Demand Response. Available at SSRN …, papers.ssrn.com, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3277354
- Yang, D, Kleissl, J, Gueymard, CA, Pedro, HTC, & … (2018). History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X17310022
- Krishnamurthy, CK, Vesterberg, M, Böök, H, Lindfors, AV, & … (2018). Benefits of real-time pricing and rooftop solar PV generation: Explorations using Swedish micro-data., papers.ssrn.com, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3144215
- Jacobo, AF Zambrano (2018). Predicción de irradiación solar en Colombia a partir de mediciones en sitio y satelitales utilizando redes neuronales., repositorio.uniandes.edu.co, https://repositorio.uniandes.edu.co/bitstream/handle/1992/39107/u820956.pdf?sequence=1
- Han, X, & Xu, L (2018). Technology Adoption in Input-Output Networks. Available at SSRN 3266251, papers.ssrn.com, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3266251
- Freitas, SRT (2018). Photovoltaic potential in building façades., repositorio.ul.pt, https://repositorio.ul.pt/handle/10451/34868
- Sartor, K (2018). Développement d’un outil de simulation et d’analyse technico-économique et environnementale d’un réseau de chaleur., orbi.uliege.be, https://orbi.uliege.be/handle/2268/229271
- Scheiber, G (2018). Gesamtheitliche Modellierung von leitungsgebundenen Energiesystemen mit exergetischer Bewertung., pure.unileoben.ac.at, https://pure.unileoben.ac.at/portal/en/publications/gesamtheitliche-modellierung-von-leitungsgebundenen-energiesystemen-mit-exergetischer-bewertung(ee724293-b5e1-4547-bde4-0add5f1641fd).html
- Gurupira, T, & Rix, A (2017). Pv simulation software comparisons: Pvsyst, nrel sam and pvlib. Conf.: SAUPEC, orcun.baslak.com.
2017
- Holmgren, WF, Lorenzo, AT, & … (2017). A comparison of pv power forecasts using pvlib-python. 2017 IEEE 44th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8366724/
- Stein, J (2017). PV Performance Modeling Methods and Practices.., osti.gov, https://www.osti.gov/servlets/purl/1474242
- Stein, J (2017). Challenges of PV Degradation Analysis: PVLIB and Performance Data Analysis.., osti.gov, https://www.osti.gov/servlets/purl/1482294
- Ransome, S. and Sutterlueti, J. (2017). “OPTIMUM USE OF THE LOSS FACTORS MODEL (LFM) FOR IMPROVED PV PERFORMANCE MODELLING”, 13th PVSAT 2017 Bangor, UK,
- Ransome, S. and Sutterlueti, J. (2017). “Choosing the best Empirical Model for predicting energy yield”, 7th PV Energy Rating and Module Performance Modeling Workshop, Canobbio, Switzerland 2017, https://www.slideshare.net/sandiaecis/15-2017-pvpmc7ransome170330t081corrected2-74980695
- Gurupira, T, & Rix, AJ (2017). Pv simulation software comparisons: Pvsyst, nrel sam and pvlib,(January).
- Benito, AJ Gil de Santivañes de (2017). Interfaz gráfica para el modelado de sistemas fotovoltaicos mediante el paquete de funciones de código abierto PVLIB.., oa.upm.es, https://oa.upm.es/id/eprint/47456
- Stein, J (2017). PV System Performance Modeling.., osti.gov, https://www.osti.gov/servlets/purl/1418248
- Li, X, Wagner, F, Peng, W, Yang, J, & … (2017). Reduction of solar photovoltaic resources due to air pollution in China. Proceedings of the …, National Acad Sciences, https://www.pnas.org/content/114/45/11867.short
- Mikofski, MM, Hansen, CW, & … (2017). Use of measured aerosol optical depth and precipitable water to model clear sky irradiance. 2017 IEEE 44th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8366314/
- Klise, KA, Stein, JS, & … (2017). Application of IEC 61724 Standards to Analyze PV System Performance in Different Climates. 2017 IEEE 44th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8366666/
- Hansen, CW, Stein, J, & Riley, DM (2017). 2017 IEEE PVSC tutorial PV system modeling.., osti.gov, https://www.osti.gov/servlets/purl/1513607
- Gurupira, T, & Rix, A (2017). PV simulation software comparisons: PVSYST. NREL SAM AND PVLIB
- Anoma, M Abou, Jacob, D, Bourne, BC, & … (2017). View factor model and validation for bifacial PV and diffuse shade on single-axis trackers. 2017 IEEE 44th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8366704/
- Klise, GT (2017). Reliability Impacts to PV Plant Performance: Methods and Tools for O&M Insight.., osti.gov, https://www.osti.gov/servlets/purl/1427416
- Jordan, DC, Deline, C, Kurtz, SR, & … (2017). Robust PV degradation methodology and application. IEEE Journal of …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8233204/
- Lee, KH, Araki, K, Elleuch, O, Kojima, N, & … (2017). Pypvcell: An open-source solar cell modeling library in Python. 2017 IEEE 44th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8366371/
- Klise, KA (2017). Pecos Open Source Software for PV Performance Monitoring.., osti.gov, https://www.osti.gov/servlets/purl/1457957
- Kühnel, M, Hanke, B, Geißendörfer, S, & … (2017). Energy forecast for mobile photovoltaic systems with focus on trucks for cooling applications. Progress in …, Wiley Online Library, https://doi.org/10.1002/pip.2886
- Haapaniemi, J, Narayanan, A, Tikka, V, & … (2017). Effects of major tariff changes by distribution system operators on profitability of photovoltaic systems. … Conference on the …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/7981935/
- Petric, T, Dupont, C, & Gall, F Le (2017). Evaluating benefits of adding intelligence to small-scale renewable energy systems. IEEE EUROCON 2017-17th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8011139/
- Stein, JS, Riley, D, Lave, M, Hansen, C, & … (2017). Outdoor field performance from bifacial photovoltaic modules and systems. 2017 IEEE 44th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8366042/
- Litjens, G, Kausika, BB, Worrell, E, & … (2017). Spatial Analysis of Residential Combined Photovoltaic and Battery Potential: Case Study Utrecht, the Netherlands. 2017 IEEE 44th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8366519/
- II, DJ Gagne, McGovern, A, Haupt, SE, & Williams, JK (2017). Evaluation of statistical learning configurations for gridded solar irradiance forecasting. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X17303158
- Klise, GT, Freeman, JM, & Lavrova, O (2017). Simulating PV System Performance with Component Reliability Distributions. 2017 IEEE 44th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8366397/
- Litjens, G, Worrell, E, & Sark, W Van (2017). Influence of demand patterns on the optimal orientation of photovoltaic systems. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X17305856
- Catalina, A, Torres-Barrán, A, & Dorronsoro, JR (2017). Satellite based nowcasting of PV energy over peninsular Spain. … Work-Conference on …, Springer, https://doi.org/10.1007/978-3-319-59153-7_59
- Haschke, J, Seif, JP, Riesen, Y, Tomasi, A, & … (2017). Energy Yield in Hot & Sunny Climates: Impact of Silicon Solar Cell Architecture and Cell Interconnection. 2017 IEEE 44th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8366703/
- Chen, D, & Irwin, D (2017). Black-box solar performance modeling: Comparing physical, machine learning, and hybrid approaches. ACM SIGMETRICS Performance Evaluation Review, dl.acm.org, https://doi.org/10.1145/3152042.3152067
- Louwen, A, Schropp, REI, Sark, WG van, & Faaij, APC (2017). Geospatial analysis of the energy yield and environmental footprint of different photovoltaic module technologies. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X17306412
- Elsinga, B, Sark, W van, & … (2017). Inverse photovoltaic yield model for global horizontal irradiance reconstruction. Energy Science & …, Wiley Online Library, https://doi.org/10.1002/ese3.162
- Pannebakker, BB, Waal, AC de, & … (2017). Photovoltaics in the shade: one bypass diode per solar cell revisited. Progress in …, Wiley Online Library, https://doi.org/10.1002/pip.2898
- Moraitis, P, Kausika, BB, & … (2017). Effects of Urban Environment on Solar PV Performance. 2017 IEEE 44th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8366669/
- Jenson, D, D’Sa, R, Henderson, T, Kilian, J, & … (2017). Energy characterization of a transformable solar-powered unmanned aerial vehicle. 2017 IEEE/RSJ …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8206401/
- Computação, C da (2017). Mateus MS do Nascimento.
- Polo, J, Fernandez-Neira, WG, & Alonso-García, MC (2017). On the use of reference modules as irradiance sensor for monitoring and modelling rooftop PV systems. Renewable energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0960148117300265
- Steiner, M, Gerstmaier, T, & Bett, AW (2017). Concentrating photovoltaic systems. The Performance of Photovoltaic (PV) …, Elsevier, https://www.sciencedirect.com/science/article/pii/B9781782423362000100
- Curran, AJ, Hu, Y, Haddadian, R, Braid, JL, & … (2017). Determining the power rate of change of 353 plant inverters time-series data across multiple climate zones, using a month-by-month data science analysis. 2017 IEEE 44th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/8366477/
- Hamann, HF (2017). A multi-scale, multi-model, machine-learning solar forecasting technology., osti.gov, https://www.osti.gov/biblio/1395344
- Thiébaut, J (2017). Theoretical and experimental investigations of parabolic trough collectors for a small-scale solar thermal power plant., matheo.uliege.be, https://matheo.uliege.be/handle/2268.2/3210
- López, AB Cristóbal, Nadal, C Cañizo, Vega, A Martí, & … (2017). Fostering a Next GeneRation of European Photovoltaic SoCiety through Open Science-GRECO 787289., oa.upm.es, http://oa.upm.es/50489/1/GRECO_section1-3_abc45%20.pdf
- Lovati, M, Maturi, L, Adami, J, & Moser, D (2017). Methodologies and tools for BIPV implementation in the early stage of the architectural design. 12th conference on Advanced …, iris.unitn.it, https://iris.unitn.it/bitstream/11572/263544/4/Tesi_Lovati_202005_definitiva.pdf
- Chambers, JD (2017). Developing a rapid, scalable method of thermal characterisation for UK dwellings using smart meter data., discovery.ucl.ac.uk, https://discovery.ucl.ac.uk/id/eprint/10030678/
2016
- Stein, JS, Holmgren, WF, Forbess, J, & … (2016). PVLIB: Open source photovoltaic performance modeling functions for Matlab and Python. 2016 ieee 43rd …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/7750303/
- Holmgren, WF, & Groenendyk, DG (2016). An open source solar power forecasting tool using PVLIB-Python. 2016 ieee 43rd photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/7749755/
- Gurupira, T, & Rix, AJ (2016). Photovoltaic System Modelling using PVLib-Python. Fourth South African Solar Energy …, researchgate.net, https://www.researchgate.net/profile/Arnold-Rix/publication/313249264_PHOTOVOLTAIC_SYSTEM_MODELLING_USING_PVLIB-PYTHON/links/589440ddaca27231daf6340f/PHOTOVOLTAIC-SYSTEM-MODELLING-USING-PVLIB-PYTHON.pdf
- Stein, J (2016). 2016 PVLIB Users Group Meeting.., osti.gov, https://www.osti.gov/servlets/purl/1514526
- Ransome, S, Stein, J, Holmgren, W, & … (2016). PV Performance modelling with PVPMC/PVLIB. PVSAT12, pdfs.semanticscholar.org, https://pdfs.semanticscholar.org/516e/d000fa1e9910668d6960c05c2db2816e3e27.pdf
- Klise, KA, & Stein, JS (2016). Automated performance monitoring for PV systems using pecos. 2016 IEEE 43rd Photovoltaic Specialists …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/7750304/
- Li, X, Mauzerall, DL, Wagner, F, & … (2016). Impact of Atmospheric Aerosols on Solar Photovoltaic Electricity Generation in China. AGU Fall Meeting …, ui.adsabs.harvard.edu, https://ui.adsabs.harvard.edu/abs/2016AGUFMGC53G..05L/abstract
- Deline, C, DiOrio, N, Jordan, D, & Toor, F (2016). Progress & frontiers in PV performance., osti.gov, https://www.osti.gov/biblio/1327483
- Lee, M, & Panchula, A (2016). Spectral correction for photovoltaic module performance based on air mass and precipitable water. 2016 IEEE 43rd Photovoltaic Specialists …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/7749836/
- Klise, GT (2016). PV System Reliability: An O&M Perspective.., osti.gov, https://www.osti.gov/servlets/purl/1346103
- Passow, K, & Lee, M (2016). Effect of spectral shift on solar PV performance. 2016 IEEE Conference on Technologies for …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/7897175/
- Litjens, G, Sark, W Van, & Worrell, E (2016). On the influence of electricity demand patterns, battery storage and PV system design on PV self-consumption and grid interaction. 2016 IEEE 43rd Photovoltaic …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/7749983/
- Klise, KA, & Stein, J (2016). Performance Monitoring using Pecos Version 0.1.., osti.gov, https://www.osti.gov/servlets/purl/1734479
- Mikofski, M, Oumbe, A, Li, C, & … (2016). Evaluation and correction of the impact of spectral variation of irradiance on pv performance. 2016 ieee 43rd …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/7749837/
- Ruf, H, Schroedter-Homscheidt, M, Heilscher, G, & … (2016). Quantifying residential PV feed-in power in low voltage grids based on satellite-derived irradiance data with application to power flow calculations. Solar Energy, Elsevier, https://www.sciencedirect.com/science/article/pii/S0038092X16301803
- Polo, J, Garcia-Bouhaben, S, & … (2016). A comparative study of the impact of horizontal-to-tilted solar irradiance conversion in modelling small PV array performance. Journal of Renewable …, aip.scitation.org, https://doi.org/10.1063/1.4964363
- Phinikarides, A, Shimitra, C, Bourgeon, R, & … (2016). Development of a novel web application for automatic photovoltaic system performance analysis and fault identification. 2016 IEEE 43rd …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/7749921/
- Lassila, J, Tikka, V, Haapaniemi, J, Child, M, Breyer, C, & … (2016). Nationwide photovoltaic hosting capacity in the Finnish electricity distribution system. … Photovoltaic Solar Energy …
- Lave, M, Stein, J, & Smith, R (2016). Solar variability datalogger. Journal of Solar …, asmedigitalcollection.asme.org, https://asmedigitalcollection.asme.org/solarenergyengineering/article-abstract/138/5/054503/383682
- Ruf, H, Schroedter-Homscheidt, M, Beyer, HG, & … (2016). Simulation of the Load Flow at the Transformer in Low Voltage Distribution Grids with a Significant Number of PV Systems using Satellite-derived Solar …. Sol. Energy, researchgate.net, https://www.researchgate.net/profile/Holger-Ruf/publication/304525176_Simulation_of_the_Load_Flow_at_the_Transformer_in_Low_Voltage_Distribution_Grids_with_a_Significant_Number_of_PV_Systems_using_Satellite-Derived_Solar_Irradiance/links/57723db708ae842225adc8d4/Simulation-of-the-Load-Flow-at-the-Transformer-in-Low-Voltage-Distribution-Grids-with-a-Significant-Number-of-PV-Systems-using-Satellite-Derived-Solar-Irradiance.pdf
- Tomažič, T (2016). Napovedovanje dnevne proizvodnje električne energije sončnih elektrarn., eprints.fri.uni-lj.si, http://eprints.fri.uni-lj.si/3650/
- Ruf, HI (2016). Computation of the load flow at the transformer in distribution grids with a significant number of photovoltaic systems using satellite-derived solar irradiance data., uia.brage.unit.no, https://uia.brage.unit.no/uia-xmlui/bitstream/handle/11250/2398250/Dissertation_Holger-Ruf_Print-Version_embedded_Fonts.pdf?sequence=1
- Hernández-Torres, D, Turpin, C, & … (2016). Modélisation en flux d’énergie d’une batterie Li-Ion en vue d’une optimisation technico économique d’un micro-réseau intelligent. … de Genie Electrique, hal.archives-ouvertes.fr, https://hal.archives-ouvertes.fr/hal-01361618/
- Fortuna, L, Nunnari, G, & Nunnari, S (2016). Nonlinear modeling of solar radiation and wind speed time series., Springer, https://doi.org/10.1007/978-3-319-38764-2
- Campaigne, C, Balandat, M, & Ratliff, L (2016). Welfare effects of dynamic electricity pricing. Working Paper, ocf.berkeley.edu, https://www.ocf.berkeley.edu/~clay/file/SimulatingDynamicTariffs.pdf
- Banadkooki, AS (2016). Prediction of Photovoltaic Power Generation from Cloud Imaging., research-collection.ethz.ch, https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/155770/eth-49449-01.pdf
- Altes-Buch, Q (2016). Mechanical design, control and optimization of a hybrid solar microgrid for rural electrification and heat supply in sub-Saharan Africa., orbi.uliege.be, https://orbi.uliege.be/bitstream/2268/208976/1/QAB_MasterThesis.pdf
2015
- Holmgren, WF, Andrews, RW, & … (2015). PVLIB python 2015. 2015 ieee 42nd …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/7356005/
- Ellis, A (2015). Large-Scale Photovoltaics deployment.., osti.gov, https://www.osti.gov/servlets/purl/1333247
- Köhler, C, Ruf, H, Steiner, A, Lee, D, & … (2015). Nutzung Numerischer Wettervorhersagen in der Simulation von Verteilnetzen: Die Effekte einer Sonnenfinsternis auf netzgekoppelte PV-Anlagen und …. 30th Symposium …, researchgate.net, https://www.researchgate.net/profile/Carmen-Koehler/publication/273143752_Nutzung_Numerischer_Wettervorhersagen_in_der_Simulation_von_Verteilnetzen_Die_Effekte_einer_Sonnenfinsternis_auf_netzgekoppelte_PV-Anlagen_und_Netztransformatoren/links/554b7f3f0cf21ed2135948f7/Nutzung-Numerischer-Wettervorhersagen-in-der-Simulation-von-Verteilnetzen-Die-Effekte-einer-Sonnenfinsternis-auf-netzgekoppelte-PV-Anlagen-und-Netztransformatoren.pdf
- Ruf, H, Schroedter-Homscheidt, M, & … (2015). Load Flow Calculation of a Low Voltage Transformer using Satellitebased Irradiance Data. … ETG Congress 2015 …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/7388521/
- Stein, JS (2015). FY15 Final Technical Report for DOE SunShot., osti.gov, https://www.osti.gov/servlets/purl/1232610
- Andrews, RW, Stein, JS, Hansen, C, & … (2014). Introduction to the open source PV LIB for python Photovoltaic system modelling package. 2014 IEEE 40th …, ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/6925501/
- Stein, J. S. and M. Green (2015). Novel strategies for PV system monitoring. PV-Tech Power. London, UK, Solar Media. 02.
- Ransome, S., Sutterlueti, J., Scholz, J, Stein, J.S. (2015). Improved PV Performance modelling by combining the PV_LIB Toolbox with the Loss Factors Model (LFM), 42nd IEEE PV Specialists Conference, New Orleans, LA, USA.
2014
- Andrews, R. W., J. S. Stein, C. Hansen and D. Riley (2014). Introduction to the open source PV LIB for python Photovoltaic system modelling package. 2014 IEEE 40th photovoltaic specialist conference (PVSC), IEEE.
- Riley, DM, Stein, J, Hansen, CW, & Andrews, R (2014). 2014 IEEE PVSC Tutorial on PV System Performance Modeling.., osti.gov, https://www.osti.gov/servlets/purl/1714482
- Stein, JS, & Toolbox, P (2014). Sandia National Laboratories: Albuquerque. NM, USA
- Rogers, E, & Sexton, S (2014). Distributed Decisions: The Efficiency of Policy for Rooftop Solar Adoption. Online at https://www. aeaweb. org …, evangrogers.org, https://evangrogers.org/wp-content/uploads/2014/04/Rogers_JMP.pdf
- Gregg, DC, Murgia, FM, & Seydioglu, B (2014). Solar Panel Layout and Installation. US Patent App. 13/551,863, Google Patents, https://patents.google.com/patent/US20140025343A1/en
- Nogueira, PHO (2014). Simulação do desempenho de sistemas solares fotovoltaicos para a geração de eletricidade: um estudo de caso do sistema fotovoltaico da embaixada da Itália., bdm.unb.br, https://bdm.unb.br/handle/10483/9270
2013
- Stein, J. S. and B. H. King (2013). Modeling for PV plant optimization. Photovoltaics International, Solar Media Ltd. 19th: 101-109.