Short-term photovoltaic output prediction based on spatial downscaling NWP data and CNN-iTransformer-LSTM model
To enhance the accuracy of short-term photovoltaic power output prediction and address issues such as insufficient spatial resolution of meteorological forecast data and weak generalization ability of models, this paper proposes a prediction method that integrates spatial downscaling meteorological...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Tsinghua University Press
2026-03-01
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| Col·lecció: | iEnergy |
| Matèries: | |
| Accés en línia: | https://www.sciopen.com/article/10.23919/IEN.2026.0008 |
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