Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory

With the continuous development of power industry, the importance of load forecasting is becoming more and more obvious. As an important part of load forecasting, short-term load forecasting is of great significance to the dispatching and operation of power system and market transactions. Accurate l...

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Bibliographic Details

Published in:	Zhongguo dianli
Main Authors:	Huiru ZHAO, Yihang ZHAO, Sen GUO
Format:	Article
Language:	Chinese
Published:	State Grid Energy Research Institute 2020-06-01
Subjects:	short-term load forecasting long short-term memory complementary ensemble empirical mode decomposition deep learning
Online Access:	https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201910012