Forecasting of Electricity Consumption by Household Consumers Using Fuzzy Logic Based on the Development Plan of the Power System of the Republic of Tajikistan
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригиналаПоле | Значение | |
Заглавие |
Forecasting of Electricity Consumption by Household Consumers Using Fuzzy Logic Based on the Development Plan of the Power System of the Republic of Tajikistan
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Автор |
Tavarov, S. S.
Matrenin, P. Safaraliev, M. Senyuk, M. Beryozkina, S. Zicmane, I. |
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Тематика |
ENERGY EFFICIENCY
FUZZY MODEL HOUSEHOLD CONSUMERS POWER CONSUMPTION POWER SYSTEM COMPLIANCE ELECTRICITY ELECTRICITY GENERATION ENERGY EFFICIENCY FORECASTING METHOD FUZZY MATHEMATICS HOUSEHOLD SURVEY STATISTICAL DATA TAJIKISTAN |
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Описание |
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. © 2023 by the authors.
Ministry of Education and Science of the Russian Federation, Minobrnauka The contribution of P.V. Matrenin to the research funding from the Ministry of Science and Higher Education of the Russian Federation (Ural Federal University Program of Development within the Priority-2030 Program) is gratefully acknowledged. |
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Дата |
2024-04-05T16:16:55Z
2024-04-05T16:16:55Z 2023 |
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Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/publishedVersion |
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Идентификатор |
Tavarov, SS, Matrenin, P, Safaraliev, M, Senyuk, M, Beryozkina, S & Zicmane, I 2023, 'Forecasting of Electricity Consumption by Household Consumers Using Fuzzy Logic Based on the Development Plan of the Power System of the Republic of Tajikistan', Sustainability, Том. 15, № 4, 3725. https://doi.org/10.3390/su15043725
Tavarov, S. S., Matrenin, P., Safaraliev, M., Senyuk, M., Beryozkina, S., & Zicmane, I. (2023). Forecasting of Electricity Consumption by Household Consumers Using Fuzzy Logic Based on the Development Plan of the Power System of the Republic of Tajikistan. Sustainability, 15(4), [3725]. https://doi.org/10.3390/su15043725 2071-1050 Final All Open Access, Gold https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149236576&doi=10.3390%2fsu15043725&partnerID=40&md5=c74d986e27040021c00284547dfe38ac https://www.mdpi.com/2071-1050/15/4/3725/pdf?version=1676626756 http://elar.urfu.ru/handle/10995/130252 10.3390/su15043725 85149236576 000941350900001 |
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Язык |
en
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Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by https://creativecommons.org/licenses/by/4.0/ |
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Формат |
application/pdf
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Издатель |
MDPI
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Источник |
Sustainability
Sustainability (Switzerland) |
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