A human comfort prediction method for indoor personnel based on time-series analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Energy (miscellaneous),Building and Construction
Link
https://link.springer.com/content/pdf/10.1007/s12273-023-1010-8.pdf
Reference41 articles.
1. Ahmed T, Kumar P, Mottet L (2021). Natural ventilation in warm climates: The challenges of thermal comfort, heatwave resilience and indoor air quality. Renewable and Sustainable Energy Reviews, 138: 110669.
2. Alsaleem F, Tesfay MK, Rafaie M, et al. (2020). An IoT framework for modeling and controlling thermal comfort in buildings. Frontiers in Built Environment, 6: 87.
3. Arakawa Martins L, Soebarto V, Williamson T (2022a). A systematic review of personal thermal comfort models. Building and Environment, 207: 108502.
4. Arakawa Martins L, Soebarto V, Williamson T (2022b). Performance evaluation of personal thermal comfort models for older people based on skin temperature, health perception, behavioural and environmental variables. Journal of Building Engineering, 51: 104357.
5. Bai Y, Liu K, Wang Y (2022). Comparative analysis of thermal preference prediction performance in different conditions using ensemble learning models based on ASHRAE Comfort Database II. Building and Environment, 223: 109462.
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