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dc.contributor.authorDoliev Shokhabbos Kulmurat ugli
dc.date.accessioned2025-10-07T07:45:03Z
dc.date.available2025-10-07T07:45:03Z
dc.date.issued2025-04-02
dc.identifier.citationCENTRAL ASIAN JOURNAL OF INNOVATIONS ON TOURISM MANAGEMENT AND FINANCEen_US
dc.identifier.issn2660-454X
dc.identifier.urihttps://dspace.kstu.uz/xmlui/handle/123456789/387
dc.description.abstractThe sectoral distribution of regional electricity consumption and its optimization play a crucial role in ensuring economic stability and efficiency. This article analyzes the dynamics of distribution and losses of net electricity generated in the Republic of Uzbekistan from 1992 to 2020 across various economic sectors. The research results indicate a decrease in energy consumption in the industrial and construction sectors, an increase in the share of household consumers, and a reduction in energy demand in the agricultural sector. The rise in power grid losses confirms the need to modernize the electricity distribution system. The use of strategic and operational management models is proposed to optimize regional electricity supply. Optimization can be implemented at the strategic level using the Multiverse algorithm, and at the operational level using the Gurobi solver. The research findings provide scientifically grounded recommendations for effective planning of electricity distribution, minimizing energy losses, and enhancing economic efficiency. This article has significant theoretical and practical importance for exploring opportunities to optimize electricity supply strategies and apply econometric models.en_US
dc.language.isoenen_US
dc.subjectRegional Electricity Supply, Net Electricity Generation, Sectoral Distribution of Electricity, Energy Losses in Networks, Regional Energy Consumption, Electricity Optimization, Industrial and Agricultural Energy, Energy Consumption in Transport and Construction Sectors, Energy Efficiency and Sustainabilityen_US
dc.titleRegional Distribution and Optimization Methods of Electricity Consumption by Sectorsen_US
dc.typeArticleen_US


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