Wind power forecasting with metaheuristic-based feature selection and neural networks

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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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Bibliographic Details
Main Authors:	Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Mohd Mawardi, Saari, Mohammad Fadhil, Abas
Format:	Article
Language:	English
Published:	Elsevier B.V. 2024
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/42918/ http://umpir.ump.edu.my/id/eprint/42918/1/Wind%20power%20forecasting%20with%20metaheuristic-based%20feature%20selection%20and%20neural%20networks.pdf

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