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20222026
most citedSky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?

9 citations · 18 across the 5 of their papers we have counts for

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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.CV2022★ 4 cited

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…

cs.CV2022★ 2 cited

SKIPP'D: a SKy Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecasting

Yuhao Nie, Xiatong Li, Andea Scott +3

Large-scale integration of photovoltaics (PV) into electricity grids is challenged by the intermittent nature of solar power. Sky-image-based solar forecasting using deep learning…