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강건 회귀 및 시계열 군집 분석 기반 건물 에너지 패턴 분류
이동혁(Yi, Dong-Hyuk),유영서(Yoo, Young-Seo),고윤담(Ko, Yun-Dam),조형곤(Jo, Hyeong-Gon),박철수(Park, Cheol-Soo) 대한건축학회 2020 대한건축학회 학술발표대회 논문집 Vol.40 No.2
For efficient energy management of building stocks, it is important to classify building energy pattern where dominant design variables could be identified. In this regard, the authors present a classification method of building energy pattern using RANSAC (robust regression) and K-shape algorithm (time series clustering). A reference office building was chosen and populated using the Sobol sequence method, resulting in 1,000 samples. Energy use data of 1,000 sample buildings were obtained from EnergyPlus simulations. The relationship between outdoor temperature and building energy use was selected as building energy pattern. It is shown that 1,000 buildings can be classified into two clusters (heating dominant vs. cooling dominant) and corresponding four architectural design variables.