Transmission Line Fault Classification of Multi-Dataset Using CatBoost Classifier

Transmission Line Fault Classification of Multi-Dataset Using CatBoost Classifier

Transmission line fault classification forms the basis of fault protection management in power systems. Because faults have adverse effects on transmission lines, adequate measures must be implemented to avoid power outages. This paper focuses on using the categorical boosting (CatBoost) algorithm c...

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Bibliografische gegevens
Hoofdauteurs: Vincent Nsed Ogar, Sajjad Hussain, Kelum A. A. Gamage
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2022-07-01
Reeks:Signals
Onderwerpen:
fault classification
CatBoost classifier
transmission line
machine learning
fault management
Online toegang:https://www.mdpi.com/2624-6120/3/3/27

Internet

https://www.mdpi.com/2624-6120/3/3/27

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