건축도시공간연구소

Architecture & Urban Research Institute

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한국건축친환경설비학회|논문집 2024년 4월

논문명 적정 에너지 베이스라인 구축을 위한 하이브리드 모델 기반 이상값 검출 알고리즘 / Anomaly Detection Algorithm Based on Hybrid Model for Establishing Appropriate Energy Baseline
저자명 이태규 ; 김정욱
발행사 한국건축친환경설비학회
수록사항 한국건축친환경설비학회 논문집, Vol.18 No.2 (2024-04)
페이지 시작페이지(109) 총페이지(13)
ISSN 1976-6483
주제분류 환경및설비
주제어 건물에너지; 에너지 절감; 에너지 베이스라인; 이상데이터 검출 ; Building energy; Energy saving; Energy baseline; Anomaly detection
요약2 This study explores the importance of establishing an appropriate energy baseline for the energy management of buildings and building complexes. The energy baseline serves as a benchmark for assessing a building’s energy consumption and accurately measuring the effects of energy-saving measures. With many buildings using energy inefficiently, accurately setting an energy baseline presents challenges. This research emphasizes the necessity of continuously monitoring a building’s energy consumption to establish a sustainable energy management strategy. The proper setting and management of an energy baseline play a crucial role in assessing the effectiveness of energy demand management projects. The study demonstrates that the energy baseline varies according to energy consumption behavior, revealing up to a 28% daily discrepancy in estimated energy baseline through the detection of anomaly data.
These findings suggest difficulties in accurately determining an energy baseline, yet underline the need for appropriate criteria for judgment and the significance of constructing a proper baseline for accurately calculating the energy-saving effects from a demand management perspective. Future research aims to develop additional algorithms for analyzing energy consumption behavior and detecting anomalous data.
소장처 한국건축친환경설비학회
언어 한국어
DOI https://doi.org/10.22696/jkiaebs.20240010