An Ultra-Short-Term Electrical Load Forecasting Method Based on Temperature-Factor-Weight and LSTM Model

An Ultra-Short-Term Electrical Load Forecasting Method Based on Temperature-Factor-Weight and LSTM Model

Ultra-short-term electrical load forecasting is an important guarantee for the safety and efficiency of energy system operation. Temperature is also an important factor affecting the changes in electric load. However, in different cases, the impact of temperature on load forecasting will vary greatl...

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Bibliographic Details
Main Authors:	Dengyong Zhang, Haixin Tong, Feng Li, Lingyun Xiang, Xiangling Ding
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Energies
Subjects:	long short-term memory temperature factor weight ultra-short-term electrical load forecasting back propagation neural network gray model
Online Access:	https://www.mdpi.com/1996-1073/13/18/4875

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