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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2022-12-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1172.pdf |