A Novel Feature Representation for Prediction of Global Horizontal Irradiance Using a Bidirectional Model
Complex weather conditions—in particular clouds—leads to uncertainty in photovoltaic (PV) systems, which makes solar energy prediction very difficult. Currently, in the renewable energy domain, deep-learning-based sequence models have reported better results compared to state-of-the-art machine-lear...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2021-11-01
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| coleção: | Machine Learning and Knowledge Extraction |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2504-4990/3/4/47 |
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