재실자의 창문개폐 행위에 주요인자 분석

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