KIEAE Journal

Korea Institute of Ecological Architecture and Environment (한국생태환경건축학회)
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A Study on Building Energy Consumption Pattern Analysis Using Data Mining

데이터 마이닝을 이용한 건물 에너지 사용량 패턴 분석에 대한 연구

  • 정기택 (버츄얼빌더스(주) 디지털공간연구소) ;
  • 윤성민 (버츄얼빌더스(주) 디지털공간연구소) ;
  • 문현준 (단국대학교 건축공학과) ;
  • 여욱현 (연세대학교 밀레니엄환경디자인연구소)
  • Received : 2011.12.16
  • Accepted : 2012.03.23
  • Published : 2012.04.30
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Abstract

Data mining is to discover problems in the large amounts of data. Also, data mining trying to find the cause of the problem and the structure. Building energy consumption patterns, the amount of data is infinite. Also, the patterns have a lot of direct and indirect effects. Discussion is needed about the correlation. This work looking for the cause of energy consumption. As a result, energy management can find out the issue. Building energy analysis utilizing data mining techniques to predict energy consumption. And the results are as follows: 1) Using data mining technique, We classified complicated data to several patterns and gained meaningful informations from them. 2) Using cluster analysis, We classified building energy consumption data of residents and analyzed characters of patterns.

Keywords

References

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