Modeling Electricity Expenditures using BSOM based on Techno-Socio Economic: A Case Study of Urban Households of Iran’s Provinces

Electricity has particular importance in the national economy and provides socio-economic welfare. It is considered an essential infrastructure of the countries' development. This is why managing electricity consumption and formulating 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 evaluated 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 the 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.

Modeling Electricity Expenditures using BSOM based on Techno-Socio Economic: A Case Study of Urban Households of Iran’s Provinces Keywords:

Electricity Energy Consumption , Residential Sectors , Self-organizing Maps , Socioeconomic Factors , Categorical Data