New method for wind potential prediction using recurrent artificial neural networks

The aim of the study is to find the right architecture of the NARX neural network, in order to perform the daily prediction of the maximum wind speed of Laayoune city. We relied on the Levenberg-Marquardt optimization algorithm. The RMSE error metric showed that NARX-SP outperforms NARX-P.

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Autores principales: Amellas Yousra, Serag Saif, Loukdache Fahd, Djebli Abdelouahed, Echchelh Adil
Formato: article
Lenguaje:EN
FR
Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/0c028d49d3ea44b7a0234a1fa7859d88
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