Analysis of indoor temperature complaint factors in commercial facility air conditioning

Abstract

In facilities where indoor temperature and humidity are generally maintained at com- fortable levels, there is a lack of research into the reality of complaints regarding the thermal environment. There are many facilities that are not progressing. In this study, we used a dataset of actual facilities where workers complained about the thermal environment despite the fact that the indoor temperature and humidity were maintained at a level that people generally felt com- fortable in. We conducted an analysis to see if there are any differences in the way people feel. Analysis using feature engineering and machine learning (Randomforest) suggested that there are differences in the importance of features and trends in hot and cold complaints.