CLSTM-AR-Based Multi-Dimensional Feature Fusion for Multi-Energy Load Forecasting

CLSTM-AR-Based Multi-Dimensional Feature Fusion for Multi-Energy Load Forecasting

Integrated Energy Systems (IES) are an important way to improve the efficiency of energy, promote closer connections between various energy systems, and reduce carbon emissions. The transformation between electricity, heating, and cooling loads into each other makes the dynamic characteristics of mu...

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Bibliographic Details
Main Authors:	Bowen Ren, Cunqiang Huang, Laijun Chen, Shengwei Mei, Juan An, Xingwen Liu, Hengrui Ma
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Electronics
Subjects:	integrated energy systems multi-energy load forecasting feature confusion CLSTM
Online Access:	https://www.mdpi.com/2079-9292/11/21/3481

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