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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722010447 |