논문 국내 국내일반학술지 데이터 마이닝을 통한 4개 도시의 공동주택 전기 에너지 소비 패턴 분석
- 학술지 구분 국내일반학술지
- 게재년월 2022-02
- 저자명 김동수, 서문구, 윤종호
- 학술지명 한국태양에너지학회 논문집
- 발행처명 한국태양에너지학회
- 발행국가 국내
- 논문언어 한국어
- 전체저자수 3
홈페이지논문 초록 (Abstract)
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.