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재실자의 창문개폐 행위에 주요인자 분석
Driving parameters of occupants behavior of window opening and closing in homes
- 안영민;
- 정진화;
- 채영태;
- 박준석
초록
The purpose of this study was to predict the window opening behavior of residents using a machine learning model. In the previous researches that applied the environmental factors such as indoor and outdoor temperature and humidity to the machine learning, in this paper we tried to confirm the influence of the environmental factors on window opening behavior. Random forests(RF) were applied to determine the importance of each environmental factor in 23 sample housings. To classify households by comparing and analyzing the degree of importance factors. These results can contribute to improve the prediction accuracy of the machine learning model
키워드
창문 개폐; 거주자 행동; 환기; 실내 공기질; 기계학습; Window control; Occupant behaviour; Ventilation; Indoor air quality; Building simulation; Machine learning
- 제목
- 재실자의 창문개폐 행위에 주요인자 분석
- 제목 (타언어)
- Driving parameters of occupants behavior of window opening and closing in homes
- 저자
- 안영민; 정진화; 채영태; 박준석
- 발행일
- 2019-04
- 유형
- Proceeding
- 저널명
- 대한건축학회 2019년도 춘계학술발표대회논문집
- 권
- 39
- 호
- 1
- 페이지
- 351 ~ 352