Ultra Short-Term Power Load Forecasting Based on Similar Day Clustering and Ensemble Empirical Mode Decomposition

Ultra Short-Term Power Load Forecasting Based on Similar Day Clustering and Ensemble Empirical Mode Decomposition

With the increasing demand of the power industry for load forecasting, improving the accuracy of power load forecasting has become increasingly important. In this paper, we propose an ultra short-term power load forecasting method based on similar day clustering and EEMD (Ensemble Empirical Mode Dec...

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Bibliographic Details
Main Authors:	Wenhui Zeng, Jiarui Li, Changchun Sun, Lin Cao, Xiaoping Tang, Shaolong Shu, Junsheng Zheng
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Energies
Subjects:	cluster analysis mode decomposition LSTNet ultra short-term load forecasting non-stationary time series
Online Access:	https://www.mdpi.com/1996-1073/16/4/1989

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