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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Vydané v:	Mathematics (Basel) Ročník 10; číslo 14; s. 2366
Hlavní autori:	Su, Haokun, Peng, Xiangang, Liu, Hanyu, Quan, Huan, Wu, Kaitong, Chen, Zhiwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.07.2022
Predmet:	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
On-line prístup:	Získať plný text
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