Please use this identifier to cite or link to this item:
http://earchive.tpu.ru/handle/11683/74880| Title: | Methods of Forecasting Electric Energy Consumption: A Literature Review |
| Authors: | Klyuev, Roman Vladimirovich Morgoev, Ibrek Dzhabrailovich Morgoeva, Anzhelika Dzhabrailovna Gavrina, Oksana Alekseevna Martyushev, Nikita Vladimirovich Efremenkov (Ephremenkov), Egor Alekseevich Tsi Mensyuy |
| Keywords: | forecasting; power consumption; modeling; energy saving; machine learning; deep learning; artificial neural network |
| Issue Date: | 2022 |
| Publisher: | MDPI AG |
| Citation: | Methods of Forecasting Electric Energy Consumption: A Literature Review / R. V. Klyuev, I. D. Morgoev, A. D. Morgoeva [et al.] // Energies. — 2022. — Vol. 15, iss. 23. — [8919, 33 p.]. |
| URI: | http://earchive.tpu.ru/handle/11683/74880 |
| Appears in Collections: | Репринты научных публикаций |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| reprint-nw-39756.pdf | 1,84 MB | Adobe PDF | View/Open |
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