Advances in solar forecasting: Computer vision with deep learning

Advances in solar forecasting: Computer vision with deep learning

Renewable energy forecasting is crucial for integrating variable energy sources into the grid. It allows power systems to address the intermittency of the energy supply at different spatiotemporal scales. To anticipate the future impact of cloud displacements on the energy generated by solar facilit...

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Bibliographic Details
Main Authors: Quentin Paletta, Guillermo Terrén-Serrano, Yuhao Nie, Binghui Li, Jacob Bieker, Wenqi Zhang, Laurent Dubus, Soumyabrata Dev, Cong Feng
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Advances in Applied Energy
Subjects:
Solar forecasting
Computer vision
Deep learning
Satellite imagery
Sky images
Solar irradiance
Online Access:http://www.sciencedirect.com/science/article/pii/S266679242300029X

Internet

http://www.sciencedirect.com/science/article/pii/S266679242300029X

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