Machine Learning based Prediction of Thermal Comfort in Buildings of Equatorial Singapore
Majority of energy consumption in Singapore buildings is due to air-conditioning, because of its hot and humid weather. Besides attaining a healthy indoor environment, a prior knowledge about the occupant’s thermal comfort can be beneficial in reducing energy consumption, as it can save energy which...
| Principais autores: | , , , |
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| Outros Autores: | |
| Formato: | Conference Paper |
| Idioma: | English |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://hdl.handle.net/10356/82140 http://hdl.handle.net/10220/42964 |