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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Veröffentlicht in:	Expert systems with applications Jg. 261; S. 125567
Hauptverfasser:	Yang, Qing, Tian, Zhirui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.02.2025
Schlagworte:	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
Online-Zugang:	Volltext
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