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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Detalhes bibliográficos
Principais autores: Zhang, Wei, Wen, Yonggang, Tseng, King Jet, Jin, Guangyu
Outros Autores: School of Computer Science and Engineering
Formato: Journal Article
Idioma:English
Publicado em: 2021
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/152739