Forecasting of Electricity Consumption by Household Consumers Using Fuzzy Logic Based on the Development Plan of the Power System of the Republic of Tajikistan

Saidjon Shiralievich Tavarov (), Pavel Matrenin, Murodbek Safaraliev, Mihail Senyuk, Svetlana Beryozkina () and Inga Zicmane
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Saidjon Shiralievich Tavarov: Institute of Engineering and Technology, South Ural State University, 76, Lenin Prospekt, Chelyabinsk 454080, Russia
Pavel Matrenin: Ural Power Engineering Institute, Ural Federal University, Yekaterinburg 620002, Russia
Murodbek Safaraliev: Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg 620002, Russia
Mihail Senyuk: Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg 620002, Russia
Svetlana Beryozkina: College of Engineering and Technology, American University of the Middle East, Kuwait
Inga Zicmane: Faculty of Electrical and Environmental Engineering, Riga Technical University, LV-1048 Riga, Latvia

Sustainability, 2023, vol. 15, issue 4, 1-14

Abstract: Seasonal fluctuations in electricity consumption, and uneven loading of supply lines reduce not only the energy efficiency of networks, but also contribute to a decrease in the service life of elements of power supply systems. To solve the problem of forecasting power consumption, it is proposed to use the theory of fuzzy sets to assess the effective development of the energy system of the Republic of Tajikistan. According to the statistical data of power consumption for the previous period, a fuzzy logic model with membership functions is proposed, which makes it possible to evaluate consumer satisfaction using the criteria unsatisfactory, satisfactory, conditionally satisfactory, and satisfactory, as well as the efficiency of the consumption mode of compliance using the criteria high, medium, and low, allowing the evaluation of the efficiency plan for the development of the energy system of the Republic of Tajikistan. To obtain and set more accurate data on electricity consumption, calculations were made for the winter period of the year. Based on the proposed calculation model of fuzzy logic, a quantitative component of electricity consumption, the corresponding satisfaction of the consumer, and the efficiency of the regime for nine cities of the Republic of Tajikistan were proposed in the form of diagrams of seasonal electricity consumption. The obtained seasonal power consumption makes it possible to improve the accuracy of estimating power consumption, thereby equalizing the balance of consumption and generation.

Keywords: energy efficiency; fuzzy model; household consumers; power consumption; power system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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