Research on the Influence of Genetic Algorithm Parameters on XGBoost in Load Forecasting

Electric load forecasting is crucial in a power system comprising electricity generation, transmission, distribution, and retail. Due to its high accuracy, the ensemble learning method XGBoost has been widely applied in load forecasting. XGBoost's performance depends on its hyperparameters and...

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Vydané v:	Engineering, technology & applied science research Ročník 14; číslo 6; s. 18849 - 18854
Hlavní autori:	Tran, Thanh-Ngoc, Nguyen, Quoc-Dai
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	02.12.2024
ISSN:	2241-4487, 1792-8036
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