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

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...

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Bibliographic Details
Main Authors: Zhang, Wei, Wen, Yonggang, Tseng, King Jet, Jin, Guangyu
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/152739