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A Temporal Convolutional Network Based Hybrid Model for Short-term Electricity Price Forecasting

Haoran Zhang Weihao Hu Di Cao Qi Huang Zhe Chen Frede Blaabjerg

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(3)：P.1119-1130,12.

CSEE Journal of Power and Energy Systems2024，Vol.10Issue(3)：P.1119-1130,12.DOI:10.17775/CSEEJPES.2020.04810

A Temporal Convolutional Network Based Hybrid Model for Short-term Electricity Price Forecasting

Haoran Zhang ¹Weihao Hu ²Di Cao ²Qi Huang ²Zhe Chen ³Frede Blaabjerg³

作者信息

1. School of Mechanical and Electrical Engineering,University of Electronic Science and Technology of China,Chengdu,China
2. School of Mechanical and Electrical Engineering,University of Electronic Science and Technology of China,Chengdu,China IEEE
3. Department of Energy Technology,Aalborg University,Aalborg,Denmark IEEE
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摘要

关键词

Autoregressive integrated moving average model/electricity price forecasting/empirical mode decomposition/temporal convolutional network

分类

信息技术与安全科学

引用本文复制引用

Haoran Zhang,Weihao Hu,Di Cao,Qi Huang,Zhe Chen,Frede Blaabjerg..A Temporal Convolutional Network Based Hybrid Model for Short-term Electricity Price Forecasting[J].CSEE Journal of Power and Energy Systems,2024,10(3):P.1119-1130,12.

基金项目

supported by the Sichuan Science and Technology Program under Grant 2020JDJQ0037 and 2020YFG0312. （）

CSEE Journal of Power and Energy Systems

OACSTPCDEI

ISSN：2096-0042

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