Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?. (arXiv:2211.02108v1 [cs.CV])

Solar forecasting from ground-based sky images using deep learning models has
shown great promise in reducing the uncertainty in solar power generation. One
of the biggest challenges for training deep learning models is the availability
of labeled datasets. With more and more sky image datasets open sourced in
recent years, the development of accurate and reliable solar forecasting
methods has seen a huge growth in potential. In this study, we explore three
different training strategies for deep-learning-based solar forecasting models …

arxiv data deep learning forecasting image location solar training transfer transfer learning