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Iranian Economic Review، جلد ۲۴، شماره ۳، صفحات ۵۹۱-۶۲۰
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عنوان انگلیسی Modeling Electricity Expenditures using BSOM based on Techno-Socio Economic: A Case Study of Urban Households of Iran’s Provinces
چکیده انگلیسی مقاله E lectricity has particular importance in the national economy and providing socio-economic welfare. It is considered an essential infrastructure of the countries development. This is why the management of electricity consumption and the formulation of proper policies for it is very important for policy-makers. To do this successfully, it is necessary to identify energy consumption patterns and relevant influential factors. This study aims to identify the qualitative and quantitative effective factors of energy consumption using batch self-organizing maps (BSOM). Electricity consumption in the residential sector accounts for one-third of total electricity consumption. Therefore, this study was conducted to evaluate the consumption of urban households in Iran’s provinces. According to the results, electricity price, household income and NG gas piping costs, as quantitative factors, and number of adolescents, number of rooms, employment status of the household responsible person (HRP), number of children, education level of HRP, house area, house material and use of the stationary gas cooler, as qualitative factors, are the most important factors affecting electricity consumption. Electricity price, the number of teenagers, rooms, and status of household head activity are identified as the most important quantitative and qualitative factors in all provinces of the country.
کلیدواژه‌های انگلیسی مقاله Keywords Electricity Energy Consumption, Residential Sectors, Self-organizing Maps, Socioeconomic Factors, Categorical Data. JEL Classification R2, Q47, L94, C45
نویسندگان مقاله Neda Bayat |
Department of Economics, Qazvin Branch, Islamic Azad University, Qazvin, Iran.

Ali Asghar Salem |
Faculty of Economics, Allameh Tabataba'i University, Tehran, Iran.

نشانی اینترنتی https://ier.ut.ac.ir/article_77639_4b073f320952224260848af0b2ff0ff9.pdf
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