Hybrid Deep Learning Architecture Approach for Photovoltaic Power Plant Output Prediction
Photovoltaic Power is an interesting type of renewable energy, but the intermittency of solar energy resources makes its prediction an challenging task. This article presents the performance of a Hybrid Convolutional - Long short term memory network (CNN-LSTM) architecture in the prediction of photo...
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| Altres autors: | , , |
| Format: | article |
| Idioma: | eng |
| Publicat: |
2022
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| Accés en línia: | https://link.springer.com/chapter/10.1007/978-3-030-94262-5_3 https://hdl.handle.net/20.500.14809/3024 |
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