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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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 |