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재실자의 창문개폐 행위에 주요인자 분석Driving parameters of occupants behavior of window opening and closing in homes
- Other Titles
- Driving parameters of occupants behavior of window opening and closing in homes
- Issue Date
- Apr-2019
- Publisher
- 대한건축학회
- Keywords
- 창문 개폐; 거주자 행동; 환기; 실내 공기질; 기계학습; Window control; Occupant behaviour; Ventilation; Indoor air quality; Building simulation; Machine learning
- Citation
- 대한건축학회 2019년도 춘계학술발표대회논문집, v.39, no.1, pp.351 - 352
- Indexed
- OTHER
- Journal Title
- 대한건축학회 2019년도 춘계학술발표대회논문집
- Volume
- 39
- Number
- 1
- Start Page
- 351
- End Page
- 352
- ISSN
- 2287-5786
- Abstract
- 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
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Collections - 서울 공과대학 > 서울 건축공학부 > 1. Journal Articles
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Related Researcher
- Park, Jun Seok
- COLLEGE OF ENGINEERING (SCHOOL OF ARCHITECTURAL ENGINEERING)