Analysis of outlier detection rules based on the ASHRAE global thermal comfort database

• Published in: Building and environment Vol. 234; p. 110155
• Main Authors: Zhang, Shaoxing, Yao, Runming, Du, Chenqiu, Essah, Emmanuel, Li, Baizhan
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.04.2023
• Subjects: ASHRAE global Thermal comfort database; Machine learning; Outlier detection; Support vector machine; Thermal preference; ASHRAE global Thermal comfort database; Outlier detection; Support vector machine; Machine learning; Thermal preference

ASHRAE Global Thermal Comfort Database has been extensively used for analyzing specific thermal comfort parameters or models, evaluating subjective metrics, and integrating with machine learning algorithms. Outlier detection is regarded as an essential step in data preprocessing, but current publica...