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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Main Authors: Zhang, Wei, Wen, Yonggang, Tseng, King Jet, Jin, Guangyu
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2021
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在線閱讀:https://hdl.handle.net/10356/152739
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機構: Nanyang Technological University
語言: English