KFU. Card publication. Integration of machine learning methods in the electric power sector to reduce commercial losses: A review of practice in a grid organization

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INTEGRATION OF MACHINE LEARNING METHODS IN THE ELECTRIC POWER SECTOR TO REDUCE COMMERCIAL LOSSES: A REVIEW OF PRACTICE IN A GRID ORGANIZATION

Form of presentation

Articles in international journals and collections

Year of publication

2025

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Authors, employees of KFU

Kurbangalieva Dinara Lenarovna, author

Bibliographic description in the original language

Kurbangalieva, Kurbangaliev, Usmanov, Integration of machine learning methods in the electric power sector to reduce commercial losses: A review of practice in a grid organization//Business Informatics. - 2025. - Vol.19, Is.4. - P.68-87.

Keywords

Artificial intelligence, Smart metering devices, Digitalization, non-technical losses, neural network, machine learning

The name of the journal

Business Informatics

URL

https://bijournal.hse.ru/article/download/30304/24225/

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=323881&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Kurbangalieva Dinara Lenarovna	ru_RU
dc.date.accessioned	2025-01-01T00:00:00Z	ru_RU
dc.date.available	2025-01-01T00:00:00Z	ru_RU
dc.date.issued	2025	ru_RU
dc.identifier.citation	Kurbangalieva, Kurbangaliev, Usmanov, Integration of machine learning methods in the electric power sector to reduce commercial losses: A review of practice in a grid organization//Business Informatics. - 2025. - Vol.19, Is.4. - P.68-87.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=323881&p_lang=2	ru_RU
dc.description.abstract	Business Informatics	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Artificial intelligence	ru_RU
dc.subject	Smart metering devices	ru_RU
dc.subject	Digitalization	ru_RU
dc.subject	non-technical losses	ru_RU
dc.subject	neural network	ru_RU
dc.subject	machine learning	ru_RU
dc.title	Integration of machine learning methods in the electric power sector to reduce commercial losses: A review of practice in a grid organization	ru_RU
dc.type	Articles in international journals and collections	ru_RU