KFU. Card publication. Using machine learning methods to forecast the number of power outages at substations

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

USING MACHINE LEARNING METHODS TO FORECAST THE NUMBER OF POWER OUTAGES AT SUBSTATIONS

Form of presentation

Articles in international journals and collections

Year of publication

2023

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Authors, employees of KFU

Minnegalieva Chulpan Bakievna, author

Bibliographic description in the original language

Minnegalieva C, Gainullina A., Using machine learning methods to forecast the number of power outages at substations//E3S Web of Conferences. - 2023. - Vol.390, Is.. - Art. �06034.

Keywords

machine learning methods, forecasting, classification problem, binary classification

The name of the journal

E3S Web of Conferences

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163434919&doi=10.1051%2fe3sconf%2f202339006034&partnerID=40&md5=e239fa748b59dbc88d8fd131db5e3a1d

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

https://repository.kpfu.ru/eng/?p_id=286544&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Minnegalieva Chulpan Bakievna	ru_RU
dc.date.accessioned	2023-01-01T00:00:00Z	ru_RU
dc.date.available	2023-01-01T00:00:00Z	ru_RU
dc.date.issued	2023	ru_RU
dc.identifier.citation	Minnegalieva C, Gainullina A., Using machine learning methods to forecast the number of power outages at substations//E3S Web of Conferences. - 2023. - Vol.390, Is.. - Art. �06034.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=286544&p_lang=2	ru_RU
dc.description.abstract	E3S Web of Conferences	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	machine learning methods	ru_RU
dc.subject	forecasting	ru_RU
dc.subject	classification problem	ru_RU
dc.subject	binary classification	ru_RU
dc.title	Using machine learning methods to forecast the number of power outages at substations	ru_RU
dc.type	Articles in international journals and collections	ru_RU