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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2022
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| Materias: | |
| 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 |