Substation equipment temperature prediction based on multivariate information fusion and deep learning network

Background Substation equipment temperature is difficult to achieve accurate prediction because of its typical seasonality, periodicity and instability, complex working environment and less available characteristic information. Methods To overcome these difficulties, a substation equipment temperatu...

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Bibliographic Details
Main Authors: Lijie Sun, Chunxue Liu, Ying Wang, Zhaohong Bing
Format: Article
Language:English
Published: PeerJ Inc. 2022-12-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-1172.pdf