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...
| Principais autores: | , , , |
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| Outros Autores: | |
| Formato: | Journal Article |
| Idioma: | English |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://hdl.handle.net/10356/152739 |