A hybrid load forecasting system based on data augmentation and ensemble learning under limited feature availability

Accurate power load forecasting is an important part of power system operation planning, it can ensure the stable operation of power systems and improve the efficiency of energy utilization. The power load is affected by many factors including temperature, season, population density, and so on, howe...

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Vydané v:	Expert systems with applications Ročník 261; s. 125567
Hlavní autori:	Yang, Qing, Tian, Zhirui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.02.2025
Predmet:	Data preprocessing Deep learning Load forecasting Machine learning Multi-objective algorithm Deep learning Load forecasting Multi-objective algorithm Data preprocessing Machine learning
ISSN:	0957-4174
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