Wind power generation prediction utilizing Kolmogorov-Arnold networks

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Wind power generation prediction utilizing Kolmogorov-Arnold networks

The increasing integration of wind energy into power grids necessitates accurate and reliable wind power generation forecasts. Precise predictions are crucial for grid stability, efficient energy management, and optimal economic dispatch. However, the inherent variability and intermittency of wind r...

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Bibliographic Details
Main Authors:	Mohd Herwan, Sulaiman, Zuriani, Mustaffa, Mohd Mawardi, Saari, Ibrahim, Oladimeji
Format:	Article
Language:	English
Published:	Institute of Physics 2025
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/44974/ http://umpir.ump.edu.my/id/eprint/44974/1/Sulaiman_2025_Eng._Res._Express_7_025335.pdf

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