Machine learning thermal comfort prediction models based on occupant demographic characteristics

Author:

Kocaman Ezgi,Kuru Erdem Merve,Calis GulbenORCID

Publisher

Elsevier BV

Reference140 articles.

1. User response to indoor thermal environment in female high school buildings in Oman;Al-Khatri;Build. Res. Inf.,2022

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3. Performance evaluation of personal thermal comfort models for older people based on skin temperature, health perception, behavioural and environmental variables;Arakawa Martins;J. Build. Eng.,2022

4. Study on productivity of office workers and power consumption of air conditioners in a mixed-mode ventilation building during springtime;Arata;Build. Environ.,2022

5. Thermal comfort modeling when personalized comfort systems are in use: comparison of sensing and learning methods;Aryal;Build. Environ.,2020

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