10 citations · 33 across the 10 of their papers we have counts for
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Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?
Yuhao Nie, Quentin Paletta, Andea Scott +5
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…
Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey
Yuhao Nie, Xiatong Li, Quentin Paletta +3
Sky-image-based solar forecasting using deep learning has been recognized as a promising approach in reducing the uncertainty in solar power generation. However, one of the biggest…
Omnivision forecasting: combining satellite observations with sky images for improved intra-hour solar energy predictions
Quentin Paletta, Guillaume Arbod, Joan Lasenby
Integration of intermittent renewable energy sources into electric grids in large proportions is challenging. A well-established approach aimed at addressing this difficulty involv…