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...

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Autors principals:	David T. Makota, Naiman Shililiandumi, Hashim U. Iddi, Burchard B. Bagile
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2024-12-01
Col·lecció:	Cogent Engineering
Matèries:	Ensemble algorithm classification algorithms fault prediction electrical secondary distribution network big data Qingsong Ai, Senior Editor, Wuhan University of Technology, CHINA
Accés en línia:	https://www.tandfonline.com/doi/10.1080/23311916.2024.2340183
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