Multi-Step-Ahead Electricity Price Forecasting Based on Temporal Graph Convolutional Network

Traditional electricity price forecasting tends to adopt time-domain forecasting methods based on time series, which fail to make full use of the regional information of the electricity market, and ignore the extra-territorial factors affecting electricity price within the region under cross-regiona...

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Bibliographic Details
Published in:	Mathematics (Basel) Vol. 10; no. 14; p. 2366
Main Authors:	Su, Haokun, Peng, Xiangang, Liu, Hanyu, Quan, Huan, Wu, Kaitong, Chen, Zhiwen
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.07.2022
Subjects:	Artificial intelligence Artificial neural networks Data analysis Deep learning Electricity electricity price forecasting Electricity pricing Forecasting graph convolutional network Mathematical models Mathematics Neural networks Prediction models Prices spatio-temporal forecasting algorithm Splicing Supply & demand temporal convolutional network Time domain analysis Time series
ISSN:	2227-7390, 2227-7390
Online Access:	Get full text
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