A Deep Physical Model for Solar Irradiance Forecasting With Fisheye Images

CVPR 2020

A Deep Physical Model for Solar Irradiance Forecasting With Fisheye Images

Sep 29, 2020
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Authors: Vincent Le Guen, Nicolas Thome Description: We present a new deep learning approach for short-term solar irradiance forecasting based on fisheye images. Our architecture, based on recent works on video prediction with partial differential equations, extracts spatio-temporal features modelling cloud motion to accurately anticipate future solar irradiance. Our method obtains state-of-the-art results on video prediction and 5 min ahead irradiance forecasting against strong recent baselines, highlighting the benefits of incorporating physical knowledge in deep models for real-world physical process forecasting.

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