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Daily Prediction Model of Photovoltaic Power Generation Using a Hybrid Architecture of Recurrent Neural Networks and Shallow Neural Networks

In recent years, photovoltaic energy has become one of the most implemented electricity generation options to help reduce environmental pollution suffered by the planet. Accuracy in this photovoltaic energy forecasting is essential to increase the amount of renewable energy that can be introduced to...

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Principais autores: Wilson Castillo-Rojas, Juan Bekios-Calfa, César Hernández
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley 2023-01-01
coleção:International Journal of Photoenergy
Acesso em linha:http://dx.doi.org/10.1155/2023/2592405
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