Probabilistic end-to-end irradiance forecasting through pre-trained deep learning models using all-sky-images
<p>This work proposes a novel approach for probabilistic end-to-end all-sky imager-based nowcasting with horizons of up to 30 min using an ImageNet pre-trained deep neural network. The method involves a two-stage approach. First, a backbone model is trained to estimate the irradiance from all-...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2024-01-01
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| Series: | Advances in Science and Research |
| Online Access: | https://asr.copernicus.org/articles/20/129/2024/asr-20-129-2024.pdf |