Comparing machine learning algorithms in predicting thermal sensation using ASHRAE Comfort Database II

Predicting building occupants’ thermal comfort via machine learning (ML) is a hot research topic. Many algorithms and data processing methods have been applied to predict thermal comfort indices in different contexts. But few studies have systematically investigated how different algorithms and data processing methods can influence the prediction accuracy. In this study, we first summarized the recent literature from perspectives of predicted...