Efficient Short-Term Wind Power Prediction Using a Novel Hybrid Machine Learning Model: LOFVT-OVMD-INGO-LSSVR

Accurate wind power forecasting (WPF) is crucial to enhance availability and reap the benefits of integration into power grids. The time lag of wind power generation lags the time of wind speed changes, especially in ultra-short-term forecasting. The prediction model is sensitive to outliers and sud...

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Egile Nagusiak:	Zhouning Wei, Duo Zhao
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2025-04-01
Saila:	Energies
Gaiak:	wind power forecasting optimized variational mode decomposition least squares support vector regression improved northern goshawk optimization
Sarrera elektronikoa:	https://www.mdpi.com/1996-1073/18/7/1849
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