Wind power forecasting with metaheuristic-based feature selection and neural networks
Accurate forecasting of wind power generation is crucial for ensuring a stable and efficient energy supply, reducing the environmental impact of energy production, and promoting a cleaner and more sustainable energy supply. Inaccurate forecasts can lead to a mismatch between wind power generation an...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier B.V.
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/42918/1/Wind%20power%20forecasting%20with%20metaheuristic-based%20feature%20selection%20and%20neural%20networks.pdf http://umpir.ump.edu.my/id/eprint/42918/ https://doi.org/10.1016/j.cles.2024.100149 |
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