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Decomposition Analysis of Household Electricity Consumption in South Korean Municipalities
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Publication Year
2025-01-01
Journal
Proceedings of the IEEE International Conference on Big Data and Smart Computing, BIGCOMP
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
Proceedings of the IEEE International Conference on Big Data and Smart Computing, BIGCOMP No.2025, pp.430-433
Keyword
climate changeelectricity consumptionelectrification rateenergy intensityLMDI analysisNet-zero
Mesh Keyword
Decomposition analysisDivisia indexElectricity-consumptionElectrification rateEnergy intensityIndex analysisLogarithmic meanLogarithmic mean divisia index analyzeNet-zeroResidential electricity consumption
All Science Classification Codes (ASJC)
Artificial IntelligenceComputational Theory and MathematicsComputer Networks and CommunicationsComputer Science ApplicationsComputer Vision and Pattern RecognitionInformation Systems
Abstract
This study analyzes the drivers of residential electricity consumption growth in seven major cities in South Korea - Seoul, Busan, Daegu, Incheon, Gwangju, Daejeon, and Ulsan - over the period from 2002 to 2022. The analysis applies the Logarithmic Mean Divisia Index (LMDI) methodology to evaluate the contributions of factors disaggregated into the number of households, income per household, energy intensity, electrification rate, and climate effects. The results reveal that increases in the number of households and income per household were the primary drivers of electricity consumption growth, whereas reductions in energy intensity contributed to mitigating consumption. In most cities, income per household emerged as the dominant driver of increased electricity consumption. However, in Ulsan, the rise in the electrification rate was identified as the most significant contributing factor. The influence of climate change was relatively minor. This study provides a foundation for formulating regional policies by identifying the drivers of residential electricity consumption in each city.
ISSN
2375-9356
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38586
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105006671618&origin=inward
DOI
https://doi.org/10.1109/bigcomp64353.2025.00090
Journal URL
https://ieeexplore.ieee.org/xpl/conhome/10936630/proceeding
Type
Conference Paper
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Lee, Joo Yeoun이주연
Department of Industrial Engineering
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