| Issue |
E3S Web Conf.
Volume 319, 2021
International Congress on Health Vigilance (VIGISAN 2021)
|
|
|---|---|---|
| Article Number | 01111 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/202131901111 | |
| Published online | 09 November 2021 | |
New method for wind potential prediction using recurrent artificial neural networks
1 Laboratory of Electronic treatment information, mechanic and energetic, Ibn Tofail University, Kenitra, Morocco.
2 Laboratory of Energetics, Fluid Mechanics and Materials, Abdelmalek Essaadi, Tetouan, Morocco.
3 Department of Energy Physics, Ministry of education, Yemen
* Corresponding author: yousra.ame@gmail.com
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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