창문 개폐; 거주자 행동; 환기; 실내 공기질; 기계학습; window control; Occupant behaviour; Ventilation; Indoor air quality; Building simulation; Machine learning
Issue Date
2019-04
Publisher
대한건축학회
Citation
대한건축학회 학술발표대회 논문집, v. 39 , NO 1, Page. 351-352
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