Optimized wind power prediction and energy storage scheduling using genetic algorithm and backpropagation neural network

As renewable energy continues to rise in the global energy mix, wind energy is gradually increasing its share in the power system as a clean, renewable form of energy. However, the volatility and uncertainty of wind power bring new challenges to power system operation, making the need for its effici...

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Vydané v:	International journal of renewable energy development Ročník 14; číslo 1; s. 146 - 157
Hlavní autori:	Wu, Peng, Li, Zongze
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Diponegoro University 01.01.2025
Predmet:	backpropagation neural network energy storage scheduling genetic algorithm support vector machine wind power prediction
ISSN:	2252-4940
On-line prístup:	Získať plný text
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