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A big data-based ensemble for fault prediction in electrical secondary distribution network

AbstractThe introduction of smart meters, sensors and integrated electronic devices in the electrical secondary distribution network (ESDN) has led to the collection of massive amounts of data. Accurate prediction of faults from this data can help to improve the reliability, safety and operational e...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: David T. Makota, Naiman Shililiandumi, Hashim U. Iddi, Burchard B. Bagile
Format: Artigo
Sprache:Inglês
Veröffentlicht: Taylor & Francis Group 2024-12-01
Schriftenreihe:Cogent Engineering
Schlagworte:
Ensemble algorithm
classification algorithms
fault prediction
electrical secondary distribution network
big data
Qingsong Ai, Senior Editor, Wuhan University of Technology, CHINA
Online-Zugang:https://www.tandfonline.com/doi/10.1080/23311916.2024.2340183
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