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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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN FR |
| Publié: |
EDP Sciences
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/0c028d49d3ea44b7a0234a1fa7859d88 |
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| Résumé: | 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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