A Data-Driven Long Time-Series Electrical Line Trip Fault Prediction Method Using an Improved Stacked-Informer Network

The monitoring of electrical equipment and power grid systems is very essential and important for power transmission and distribution. It has great significances for predicting faults based on monitoring a long sequence in advance, so as to ensure the safe operation of the power system. Many studies...

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Detalles Bibliográficos
Autores principales: Guo, Li, Li, Runze, Jiang, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272100/
https://www.ncbi.nlm.nih.gov/pubmed/34210054
http://dx.doi.org/10.3390/s21134466

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8272100/
https://www.ncbi.nlm.nih.gov/pubmed/34210054
http://dx.doi.org/10.3390/s21134466

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