A data-driven framework for thermal comfort assessment method based on user interaction

Author:

Fan Qifeng,Xu XiangguoORCID,Liu Pu,Zhang Hao,Tang ShanxuanORCID

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference40 articles.

1. A review of smart building sensing system for better indoor environment control;Dong;Energy Build.,2019

2. Bayesian updates for indoor thermal comfort models;Mui;J. Build. Eng.,2020

3. E. E. Broday, C. R. Ruivo, M. G. da Silva, The use of Monte Carlo method to assess the uncertainty of thermal comfort indices PMV and PPD: Benefits of using a measuring set with an operative temperature probe, J. Build. Eng. 35 (202) 101961. https://doi.org/10.1016/j.jobe.2020.101961.

4. Seasonal comfort temperature and occupant's adaptive behaviour in a naturally ventilated university workshop building under the composite climate of India;Kumar;J. Build. Eng.,2021

5. Nudging the adaptive thermal comfort model;Parkinson;Energy Build.,2020

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