| Issue |
EPJ Web Conf.
Volume 326, 2025
International Conference on Functional Materials and Renewable Energies: COFMER’05 5th Edition
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 4 | |
| Section | Smart Energy systems: Storage, Management, Integration | |
| DOI | https://doi.org/10.1051/epjconf/202532605003 | |
| Published online | 21 May 2025 | |
https://doi.org/10.1051/epjconf/202532605003
Evaluation of Nonlinear Autoregressive Network with Exogenous Inputs Architectures for Wind Speed forecasting
Laboratory of Electronic systems, Information Processing, Mechanic and Energy, Faculty of Science - Ibn Tofail University- Kenitra, Morocco
* Corresponding author: houda.kacimi@uit.ac.ma
Published online: 21 May 2025
This research investigates the optimal NARX neural network architecture for forecasting daily maximum wind speed in Dakhla, a region with substantial wind energy resources. Two configurations NARX-SP (open loop) and NARX-P (closed loop) were evaluated using the Levenberg-Marquardt algorithm, known for its fast and efficient training. Predictive performance was assessed using RMSE to measure the gap between predicted and actual values. Results show that NARX-SP outperforms NARX-P, achieving lower RMSE and better forecasting accuracy.
© The Authors, published by EDP Sciences, 2025
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