A hybrid prediction method for short‐term load based on temporal convolutional networks and attentional mechanisms

A hybrid prediction method for short‐term load based on temporal convolutional networks and attentional mechanisms

Abstract Accurate power load prediction is an important guide for power system planning and operation. High‐ or low‐load prediction results will affect the operation of the power system. In recent years, deep learning technology represented by convolution neural network (CNN) and transformer has bee...

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Bibliographic Details
Main Authors: Min Li, Hangwei Tian, Qinghui Chen, Mingle Zhou, Gang Li
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:IET Generation, Transmission & Distribution
Subjects:
attention
deep learning
short‐term load forecasting
temporal convolutional network
time series
Online Access:https://doi.org/10.1049/gtd2.12798

Internet

https://doi.org/10.1049/gtd2.12798

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