Multi-domain indoor environmental quality in buildings: A review of their interaction and combined effects on occupant satisfaction
Occupant satisfaction is influenced by the interaction and combined effects of multi-domain
indoor environmental quality (IEQ) in buildings. While there are literature reviews on multi …
indoor environmental quality (IEQ) in buildings. While there are literature reviews on multi …
[HTML][HTML] A hybrid active learning framework for personal thermal comfort models
Personal thermal comfort models are used to predict individual-level thermal comfort
responses to inform design and control decisions of buildings to achieve optimal …
responses to inform design and control decisions of buildings to achieve optimal …
[HTML][HTML] Hybrid personalized thermal comfort model based on wrist skin temperature
C Yang, R Zhang, H Kanayama, D Sato… - Building and …, 2025 - Elsevier
Indoor thermal comfort plays a crucial role in enhancing the quality of life in residential and
work environments. However, existing thermal comfort models often rely on complex …
work environments. However, existing thermal comfort models often rely on complex …
Bayesian meta-learning for personalized thermal comfort modeling
H Zhang, S Lee, A Tzempelikos - Building and Environment, 2024 - Elsevier
Data-driven models coupled with machine learning techniques have been developed to
predict thermal comfort of individuals. However, collecting (quantitatively and qualitatively) …
predict thermal comfort of individuals. However, collecting (quantitatively and qualitatively) …
Meta-learning of personalized thermal comfort model and fast identification of the best personalized thermal environmental conditions
The model of personalized thermal comfort can be learned via various machine learning
algorithms and used to improve the individuals' thermal comfort levels with potentially less …
algorithms and used to improve the individuals' thermal comfort levels with potentially less …
A systematic review of multi-output prediction model for indoor environment and heating, ventilation, and air conditioning energy consumption in buildings
K Jiang, T Shi, H Yu, N Mahyuddin… - Indoor and Built …, 2024 - journals.sagepub.com
Heating, ventilation and air conditioning (HVAC) systems could significantly impact indoor
environmental quality, particularly in terms of thermal comfort and indoor air quality …
environmental quality, particularly in terms of thermal comfort and indoor air quality …
Non-intrusive personal thermal comfort modeling: A machine learning approach using infrared face recognition
Y Bai, L Liu, K Liu, S Yu, Y Shen, D Sun - Building and Environment, 2024 - Elsevier
At present, non-intrusive personal thermal comfort models are receiving more and more
attention. Non-intrusive sensing technology is used to accurately capture the real-time …
attention. Non-intrusive sensing technology is used to accurately capture the real-time …
Diversity for transfer in learning-based control of buildings
The application of reinforcement learning to the optimal control of building systems has
gained traction in recent years as it can cut the building energy consumption and improve …
gained traction in recent years as it can cut the building energy consumption and improve …
Hybrid feature selection-based machine learning methods for thermal preference prediction in diverse seasons and building environments
Y Bai, Z Dong, L Liu - Building and Environment, 2025 - Elsevier
Air-conditioning systems usually operate at pre-set temperatures and fixed schedules in
indoor thermal environment control, making it difficult to meet personalized user demands …
indoor thermal environment control, making it difficult to meet personalized user demands …
Data efficient indoor thermal comfort prediction using instance based transfer learning method
K Li, Y Liu, L Chen, W Xue - Energy and Buildings, 2024 - Elsevier
The precise prediction of indoor thermal sensation is critical to building energy efficiency
and satisfaction of occupants. In this field, data-driven models have shown superior …
and satisfaction of occupants. In this field, data-driven models have shown superior …