Demystifying thermal comfort in smart buildings : an interpretable machine learning approach

• Main Authors: Zhang, Wei, Wen, Yonggang, Tseng, King Jet, Jin, Guangyu
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Thermal Comfort; Smart Building; Smart City; Deep Learning; Interpretable Machine Learning.
• Online Access: https://hdl.handle.net/10356/152739
• Institution: Nanyang Technological University

Thermal comfort is a key consideration in smart buildings and a number of comfort models are available nowadays to evaluate the comfort level of occupants. However, the models are often complex and hardly interpretable for the developers and operators. Indeed, the model interpretations are beneficia...