A Study on Classifying Building Energy Consumption Pattern Using Actual Building Energy Data

건물의 실측 에너지 데이터를 통한 건물 에너지 소비 패턴 분류에 관한 연구

  • Woo, Hei-Jee ;
  • Choi, Ki-Won ;
  • Kim, Hyeon Soo ;
  • Auh, Jin Sun ;
  • Cho, Soo Youn ;
  • Baek, Jumi ;
  • Kim, Gi-Seok ;
  • Leigh, Seung-Bok
  • 우혜지 ;
  • 최기원 ;
  • 김현수 ;
  • 어진선 ;
  • 조수연 ;
  • 백주미 ;
  • 김기석 ;
  • 이승복
  • Received : 2016.02.03
  • Accepted : 2016.05.04
  • Published : 2016.05.30


The pattern of energy consumption in a building varies based on its characteristic features and the behavior of the occupants; therefore, it is difficult to classify buildings in terms of energy consumption. This study used only outdoor temperature and energy consumption as a parameter to analyze the energy consumption by a building, and thus the approach is different from the conventional methods that use complex computer simulations, data on energy consumptions related to heating cooling, and energy audits etc. First, raw data on the operational schedules of the buildings and internal-external dependency factor are developed as the primary analytical data. The preferred analytical data were categorized into four categories: internal-external factors, energy consumption, operational condition of the building, and energy consumption by outdoor temperature. A matrix that can be used as a relative indicator of a building's energy consumption in relation to its characteristics was also developed in this work. Using this energy pattern matrix, the obtained data could be used for retrofitting buildings, and a classification scheme based on the energy consumption pattern of buildings can be also prepared.


Building Energy Consumption;Building Energy Pattern;Data-driven Method


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Supported by : 한국에너지기술평가원(KETEP)