Empirical Mode Decomposition based Multi-objective Deep Belief Network for short-term power load forecasting

With the rapid development of power grid data, the data generated by the operation of the power system is increasingly complex, and the amount of data increases exponentially. In order to fully exploit and utilize the deep relationship between data to achieve accurate prediction of power load, this...

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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 388; S. 110 - 123
Hauptverfasser:	Fan, Chaodong, Ding, Changkun, Zheng, Jinhua, Xiao, Leyi, Ai, Zhaoyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 07.05.2020
Schlagworte:	Deep belief network Empirical Mode Decomposition Ensemble learning Multi-objective optimization algorithm Power load forecasting Empirical Mode Decomposition Multi-objective optimization algorithm Power load forecasting Ensemble learning Deep belief network
ISSN:	0925-2312, 1872-8286
Online-Zugang:	Volltext
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