건축도시공간연구소

Architecture & Urban Research Institute

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한국태양에너지학회|논문집 2022년 2월

논문명 데이터 마이닝을 통한 4개 도시의 공동주택 전기 에너지 소비 패턴 분석 / Investigation on Electric Energy Consumption Patterns of Residential Buildings in Four Cities through the Data Mining
저자명 서문구 ; 이효문식별저자 ; 윤종호식별저자 ; 김동수
발행사 한국태양에너지학회
수록사항 태양에너지(한국태양에너지학회 논문집), Vol.42 No.1 (2022-02)
페이지 시작페이지(127) 총페이지(13)
ISSN 1598-6411
주제분류 환경및설비
주제어 주거용 건물; 전기 에너지 사용량; 데 이터 마이닝; 공공데이터 ; Residential building; Electric energy usage; Data mining; Opendata
요약2 The government and private sectors in Korea have actively conducted the studies associated with high energy-efficient buildings to enable the zero-energy building (ZEB) targets. Establishing a reference baseline condition is essential to achieve the targets effectively. This study explores electrical energy consumption of residential building types under the city-level condition to identify baseline energy patterns and set up the benchmark dataset. An open-source dataset is used, which is provided by the public housing management information system (i.e., the K-apt website) of the government management office. For this study, five (5) years of electricity usage are reflected for the data-mining process (e.g., removing noise data) and its statistical analysis. This study considers four representative cities for the energy benchmarking analysis, including Seoul, Busan, Gwangju, and Daejeon. Results indicated that the energy distribution patterns of the residential buildings were varied according to the regions, analysis years, and other combined effects such as the range of dataset in the processing. This study concludes that the benchmark dataset will be useful and informative to determine the relative system capacity potential under monthly and yearly trends in the representative locations in Korea.
소장처 한국태양에너지학회
언어 한국어
DOI https://doi.org/10.7836/kses.2022.42.1.127