Joint forecasting of multi-energy loads for a university based on copula theory and improved LSTM network

In this study, a multi-energy loads forecasting model based on the artificial intelligence method is proposed. Firstly, based on Copula theory, the nonlinear relationship among different load types themselves, as well as other influence factors affecting the load demand such as ambient temperature e...

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Bibliographic Details
Main Authors: Hongbo Ren, Qifen Li, Qiong Wu, Chunyan Zhang, Zhenlan Dou, Jie Chen
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722010447