Small-scale variabilities of solar irradiance are important for many applications. Downscaling approaches need to be developed where only the averaged state of solar irradiance is known. In this study, we investigate the use of copula for temporally downscaling GHI...
We investigate whether PV can effectively and economically contribute to a massively renewable energy (RE) power generation future for Switzerland. Taking advantage of the country’s flexible hydropower resources, we determine the optimum PV/battery configurations that...
The ability to forecast solar irradiance plays an indispensable role in solar power forecasting, which constitutes an essential step in planning and operating power systems under high penetration of solar power generation. Since solar radiation is an atmospheric...
This presentation demonstrates how a new approach to PV fleet forecasting can address the problem of artificially high fleet variability when plants share the same solar resource data. The presentation was given at the ESIG 2018 Forecasting Workshop, June 19-21, 2018,...
As interest in bifacial PV modules grows, there is a need to quantify the impact of additional energy generation for financing solar projects. A critical parameter for accurately modeling rear-side irradiation in bifacial modules is albedo. This paper identifies...
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