Microclimate prediction for sandy photovoltaic power plants using a spatio-temporal graph convolutional network with environmental covariates
Summary: The deployment of photovoltaic (PV) power plants in sandy regions alters the local microclimate. Accurate microclimate prediction is essential for optimizing short-term operations and maintenance plans. Compared with traditional statistical and numerical models, neural networks are suited t...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2026-07-01
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| coleção: | iScience |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2589004226017049 |
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