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首页|期刊导航|Global Energy Interconnection|Forecasting the average daily and during the hours of maximum electric load based on the data of the average monthly electricity consumption with single and other energy sources

Forecasting the average daily and during the hours of maximum electric load based on the data of the average monthly electricity consumption with single and other energy sources

Saidjon Tavarov Aleksandr Sidorov Andrey Svyatykh Yulia Medvedeva Olga Khanzhina

Global Energy Interconnection2026,Vol.9Issue(3):P.611-620,10.
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Global Energy Interconnection2026,Vol.9Issue(3):P.611-620,10.DOI:10.1016/j.gloei.2025.04.007

Forecasting the average daily and during the hours of maximum electric load based on the data of the average monthly electricity consumption with single and other energy sources

Saidjon Tavarov 1Aleksandr Sidorov 1Andrey Svyatykh 2Yulia Medvedeva 1Olga Khanzhina1

作者信息

  • 1. Institute of Engineering and Technology,South Ural State University,Chelyabinsk 454080,Russia
  • 2. First Deputy General Director of Uralenergosbyt LLC,Chelyabinsk 454080,Russia
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摘要

关键词

Specific and actual power/Average monthly electricity consumption/Electrical load

分类

信息技术与安全科学

引用本文复制引用

Saidjon Tavarov,Aleksandr Sidorov,Andrey Svyatykh,Yulia Medvedeva,Olga Khanzhina..Forecasting the average daily and during the hours of maximum electric load based on the data of the average monthly electricity consumption with single and other energy sources[J].Global Energy Interconnection,2026,9(3):P.611-620,10.

Global Energy Interconnection

2096-5117

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