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 tempera...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Lijie, Liu, Chunxue, Wang, Ying, Bing, Zhaohong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280280/
https://www.ncbi.nlm.nih.gov/pubmed/37346312
http://dx.doi.org/10.7717/peerj-cs.1172

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280280/
https://www.ncbi.nlm.nih.gov/pubmed/37346312
http://dx.doi.org/10.7717/peerj-cs.1172

Ejemplares similares