2015 가구에너지상설표본조사 데이터를 기반으로 한 우리나라 가구별 에너지소비량과 영향 요인과의 관계 분석 = Relationship between Korean Housholds’ Energy Consumption and Influential Factors Based on Data of Household Energy Standing Survey

다국어 초록 (Multilingual Abstract)

In order to establish policy for effective energy saving of residential sector, it is necessary to make a reliableprediction about the energy usage of households. To do this, analyzing factors affecting the energy consumption isessential. In this study, we conducted K-mean cluster analysis and decision tree analysis using micro data of 「HouseholdEnergy Standing Survey」in 2015 to derive the factors affecting the energy consumption of households which has highuncertainty characteristics. And also, we analyzed the change of energy consumption according to detailed conditionchange of each variable. As a result of k-means clustering analysis, total energy consumption was classified into threegroups: high, middle, and low. In addition, statistical analysis of the differences of variables for each group was conducted.
Decision tree analysis showed structural relationships between variables that cannot be easily determined in alinear relationship. The main heating fuel, number of household members and household characteristics were found tohave the greatest effect on annual energy consumption in decision tree analysis.

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