Multi-domain indoor environmental quality in buildings: A review of their interaction and combined effects on occupant satisfaction
Y Zhao, D Li - Building and Environment, 2023 - Elsevier
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 …
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 …
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 …
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 …
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 …
The impact of forecast characteristics on the forecast value for the dispatchable feeder
Transforming the energy system to decentralised, renewable energy sources requires
measures to balance their fluctuating nature and stabilise the energy system. One such …
measures to balance their fluctuating nature and stabilise the energy system. One such …
Field studies of the Artificial Intelligence model for defining indoor thermal comfort to acknowledge the adaptive aspect
Abstract Numerous Artificial Intelligence (AI) solutions are available for achieving thermal
comfort. They were either trained with limited datasets or using personalized training with …
comfort. They were either trained with limited datasets or using personalized training with …