Short‐term prediction of wind power based on temporal convolutional network and the informer model

Short‐term prediction of wind power based on temporal convolutional network and the informer model

Abstract In this study, a new short‐term wind power prediction model based on a temporal convolutional network (TCN) and the Informer model is proposed to solve the problem of low prediction accuracy caused by large wind speed fluctuations in short‐term prediction. First, an input feature selection...

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Bibliographic Details
Main Authors: Shuohe Wang, Linhua Chang, Han Liu, Yujian Chang, Qiang Xue
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:IET Generation, Transmission & Distribution
Subjects:
forecasting theory
renewable energy sources
wind power
Online Access:https://doi.org/10.1049/gtd2.13064

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