A Hybrid GA–PSO–CNN Model for Ultra-Short-Term Wind Power Forecasting

Accurate and timely wind power forecasting is essential for achieving large-scale wind power grid integration and ensuring the safe and stable operation of the power system. For overcoming the inaccuracy of wind power forecasting caused by randomness and volatility, this study proposes a hybrid conv...

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Hlavní autoři:	Jie Liu, Quan Shi, Ruilian Han, Juan Yang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-10-01
Edice:	Energies
Témata:	convolutional neural network ultra-short-term wind power forecasting hybrid genetic algorithm particle swarm optimization
On-line přístup:	https://www.mdpi.com/1996-1073/14/20/6500
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