9 citations · 9 across the 1 of their papers we have counts for
2 papers
cs.CV2022★ 9 cited
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…
cs.CV2021
Benchmarking of Deep Learning Irradiance Forecasting Models from Sky Images -- an in-depth Analysis
Quentin Paletta, Guillaume Arbod, Joan Lasenby
A number of industrial applications, such as smart grids, power plant operation, hybrid system management or energy trading, could benefit from improved short-term solar forecastin…