Evaluation of Nonlinear Autoregressive Network with Exogenous Inputs Architectures for Wind Speed forecasting
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 f...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/11/epjconf_cofmer2025_05003.pdf |
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| _version_ | 1849387342670856192 |
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| author | Kacimi Houda Fennane Sara Mabchour Hamza ALtalqi Fatehi Echchelh Adil |
| author_facet | Kacimi Houda Fennane Sara Mabchour Hamza ALtalqi Fatehi Echchelh Adil |
| author_sort | Kacimi Houda |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d07bb64b603b438186180d7ad2d6789f |
| institution | Kabale University |
| issn | 2100-014X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj-art-d07bb64b603b438186180d7ad2d6789f2025-08-20T03:53:51ZengEDP SciencesEPJ Web of Conferences2100-014X2025-01-013260500310.1051/epjconf/202532605003epjconf_cofmer2025_05003Evaluation of Nonlinear Autoregressive Network with Exogenous Inputs Architectures for Wind Speed forecastingKacimi Houda0Fennane Sara1Mabchour Hamza2ALtalqi Fatehi3Echchelh Adil4Laboratory of Electronic systems, Information Processing, Mechanic and Energy, Faculty of Science - Ibn Tofail University-Laboratory of Electronic systems, Information Processing, Mechanic and Energy, Faculty of Science - Ibn Tofail University-Laboratory of Electronic systems, Information Processing, Mechanic and Energy, Faculty of Science - Ibn Tofail University-Laboratory of Electronic systems, Information Processing, Mechanic and Energy, Faculty of Science - Ibn Tofail University-Laboratory of Electronic systems, Information Processing, Mechanic and Energy, Faculty of Science - Ibn Tofail University-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.https://www.epj-conferences.org/articles/epjconf/pdf/2025/11/epjconf_cofmer2025_05003.pdf |
| spellingShingle | Kacimi Houda Fennane Sara Mabchour Hamza ALtalqi Fatehi Echchelh Adil Evaluation of Nonlinear Autoregressive Network with Exogenous Inputs Architectures for Wind Speed forecasting EPJ Web of Conferences |
| title | Evaluation of Nonlinear Autoregressive Network with Exogenous Inputs Architectures for Wind Speed forecasting |
| title_full | Evaluation of Nonlinear Autoregressive Network with Exogenous Inputs Architectures for Wind Speed forecasting |
| title_fullStr | Evaluation of Nonlinear Autoregressive Network with Exogenous Inputs Architectures for Wind Speed forecasting |
| title_full_unstemmed | Evaluation of Nonlinear Autoregressive Network with Exogenous Inputs Architectures for Wind Speed forecasting |
| title_short | Evaluation of Nonlinear Autoregressive Network with Exogenous Inputs Architectures for Wind Speed forecasting |
| title_sort | evaluation of nonlinear autoregressive network with exogenous inputs architectures for wind speed forecasting |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2025/11/epjconf_cofmer2025_05003.pdf |
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