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Forecasting of solar irradiance with just‐in‐time modeling
Electrical Engineering in Japan, 2012AbstractPV power output mainly depends on solar irradiance, which is affected by various meteorological factors. Thus, it is required to predict solar irradiance in the future for the efficient operation of PV systems. In this paper we develop a novel approach for solar irradiance forecasting, in which we combine the black–box model (JIT modeling) with
Takanobu Suzuki +4 more
openaire +1 more source
Solar Irradiance Forecasting Utilizing Distributed and Federated Learning
2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 2023Hao Zhang, Ke Yan 0001
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A validation frame for deterministic solar irradiance forecasts
Renewable Energy, 2021Heinrich Morf
exaly
METHOD FOR SOLAR IRRADIANCE FORECASTING
2022SONG GUITING, HUVA ROBERT GORDON
openaire +3 more sources
A residual ensemble learning approach for solar irradiance forecasting
Multimedia Tools and Applications, 2023Banalaxmi Brahma, Rajesh Wadhvani
openaire +1 more source
Post-processing of solar irradiance forecasts from WRF model at Reunion Island
Solar Energy, 2014Mathieu David +2 more
exaly +2 more sources
Added-value of ensemble prediction system on the quality of solar irradiance probabilistic forecasts
Renewable Energy, 2020Jordi Badosa +2 more
exaly