Multiple-Load Forecasting for Integrated Energy System Based on Copula-DBiLSTM

Multiple-Load Forecasting for Integrated Energy System Based on Copula-DBiLSTM

With the tight coupling of multi-energy systems, accurate multiple-load forecasting will be the primary premise for the optimal operation of integrated energy systems. Therefore, this paper proposes a Copula correlation analysis combined with deep bidirectional long and short-term memory neural netw...

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Bibliographic Details
Main Authors: Jieyun Zheng, Linyao Zhang, Jinpeng Chen, Guilian Wu, Shiyuan Ni, Zhijian Hu, Changhong Weng, Zhi Chen
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Energies
Subjects:
multiple-load forecasting
deep bidirectional long and short-term memory
Copula
correlation analysis
integrated energy system
Online Access:https://www.mdpi.com/1996-1073/14/8/2188

Internet

https://www.mdpi.com/1996-1073/14/8/2188

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