Solar forecasting from ground-based sky images has shown great promise in reducing the
uncertainty in solar power generation. With more and more sky image datasets open
sourced in recent years, the development of accurate and reliable deep learning-based
solar forecasting methods has seen a huge growth in potential. In this study, we explore
three different training strategies for solar forecasting models by leveraging three
heterogeneous datasets collected globally with different climate patterns. Specifically, we …

Solar forecasting from ground-based sky images has shown great promise in reducing the
uncertainty in solar power generation. With more and more sky image datasets available in
recent years, the development of accurate and reliable deep learning-based solar
forecasting methods using more diverse multi-location data has seen a huge growth in
potential. From that perspective, the joint utilization of these heterogeneous data–such as
images captured with different camera setups, sensor measurements (ie, irradiance versus …