Methods of Forecasting Electric Energy Consumption: A Literature Review

Methods of Forecasting Electric Energy Consumption: A Literature Review

Dettagli Bibliografici
Parent link:	Energies Vol. 15, iss. 23.— 2022.— [8919, 33 p.]
Enti autori:	Национальный исследовательский Томский политехнический университет Инженерная школа новых производственных технологий Отделение материаловедения, Национальный исследовательский Томский политехнический университет Инженерная школа новых производственных технологий Отделение машиностроения
Altri autori:	Klyuev R. V. Roman Vladimirovich, Morgoev I. D. Ibrek Dzhabrailovich, Morgoeva A. D. Anzhelika Dzhabrailovna, Gavrina O. A. Oksana Alekseevna, Martyushev N. V. Nikita Vladimirovich, Efremenkov (Ephremenkov) E. A. Egor Alekseevich, Tsi Mensyuy
Riassunto:	Title screen
Lingua:	inglese
Pubblicazione:	2022
Soggetti:	электронный ресурс труды учёных ТПУ forecasting power consumption modeling energy saving machine learning deep learning artificial neural network
Accesso online:	http://earchive.tpu.ru/handle/11683/74880 https://doi.org/10.3390/en15238919
Natura:	Elettronico Capitolo di libro
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668529

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