Attention-based temporal–spatial convolutional network for ultra-short-term load forecasting

Cheng Tong; Linghua Zhang; Hao Li; Yin Ding

doi:10.1016/j.epsr.2023.109329

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JOURNAL ARTICLE

Attention-based temporal–spatial convolutional network for ultra-short-term load forecasting

Cheng Tong Linghua Zhang Hao Li Yin Ding

Year: 2023 Journal: Electric Power Systems Research Vol: 220 Pages: 109329-109329 Publisher: Elsevier BV

DOI: 10.1016/j.epsr.2023.109329

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Keywords:

Mean squared error Mean absolute percentage error Robustness (evolution) Computer science Convolutional neural network Term (time) Long short term memory Artificial intelligence Feature engineering Deep learning Data mining Feature (linguistics) Machine learning Artificial neural network Recurrent neural network Statistics Mathematics

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Attention-based temporal–spatial convolutional network for ultra-short-term load forecasting

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