Citation Export
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sung, Yeolhoon | - |
| dc.contributor.author | Lee, Jooyeoun | - |
| dc.contributor.author | Chung, Myoungsug | - |
| dc.date.issued | 2025-01-01 | - |
| dc.identifier.issn | 2375-9356 | - |
| dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/38586 | - |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105006671618&origin=inward | - |
| dc.description.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. | - |
| dc.language.iso | eng | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.subject.mesh | Decomposition analysis | - |
| dc.subject.mesh | Divisia index | - |
| dc.subject.mesh | Electricity-consumption | - |
| dc.subject.mesh | Electrification rate | - |
| dc.subject.mesh | Energy intensity | - |
| dc.subject.mesh | Index analysis | - |
| dc.subject.mesh | Logarithmic mean | - |
| dc.subject.mesh | Logarithmic mean divisia index analyze | - |
| dc.subject.mesh | Net-zero | - |
| dc.subject.mesh | Residential electricity consumption | - |
| dc.title | Decomposition Analysis of Household Electricity Consumption in South Korean Municipalities | - |
| dc.type | Article | - |
| dc.citation.conferenceDate | 2025.02.09.~2025.02.12. | - |
| dc.citation.conferenceName | 2025 IEEE International Conference on Big Data and Smart Computing, BigComp 2025 | - |
| dc.citation.edition | Proceedings - 2025 IEEE International Conference on Big Data and Smart Computing, BigComp 2025 | - |
| dc.citation.endPage | 433 | - |
| dc.citation.number | 2025 | - |
| dc.citation.startPage | 430 | - |
| dc.citation.title | Proceedings of the IEEE International Conference on Big Data and Smart Computing, BIGCOMP | - |
| dc.identifier.bibliographicCitation | Proceedings of the IEEE International Conference on Big Data and Smart Computing, BIGCOMP No.2025, pp.430-433 | - |
| dc.identifier.doi | 10.1109/bigcomp64353.2025.00090 | - |
| dc.identifier.scopusid | 2-s2.0-105006671618 | - |
| dc.identifier.url | https://ieeexplore.ieee.org/xpl/conhome/10936630/proceeding | - |
| dc.subject.keyword | climate change | - |
| dc.subject.keyword | electricity consumption | - |
| dc.subject.keyword | electrification rate | - |
| dc.subject.keyword | energy intensity | - |
| dc.subject.keyword | LMDI analysis | - |
| dc.subject.keyword | Net-zero | - |
| dc.type.other | Conference Paper | - |
| dc.identifier.pissn | 2375933X | - |
| dc.subject.subarea | Artificial Intelligence | - |
| dc.subject.subarea | Computational Theory and Mathematics | - |
| dc.subject.subarea | Computer Networks and Communications | - |
| dc.subject.subarea | Computer Science Applications | - |
| dc.subject.subarea | Computer Vision and Pattern Recognition | - |
| dc.subject.subarea | Information Systems | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.