Rethinking the limitations of research on occupants' window-opening behavior: A review
Y Liu, WT Chong, YH Yau, L Chang, T Cui, H Yu… - Energy and …, 2022 - Elsevier
Opening windows is by far the simplest means of ventilation. It is also crucial for energy
efficiency and for creating a comfortable indoor environment. During the last decade …
efficiency and for creating a comfortable indoor environment. During the last decade …
AutoTherm: A Dataset and Benchmark for Thermal Comfort Estimation Indoors and in Vehicles
Thermal comfort inside buildings is a well-studied field where human judgment for thermal
comfort is collected and may be used for automatic thermal comfort estimation. However …
comfort is collected and may be used for automatic thermal comfort estimation. However …
Fast human-in-the-loop control for hvac systems via meta-learning and model-based offline reinforcement learning
Reinforcement learning (RL) methods can be used to develop a controller for the heating,
ventilation, and air conditioning (HVAC) systems that both saves energy and ensures high …
ventilation, and air conditioning (HVAC) systems that both saves energy and ensures high …
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 …
Integrating artificial intelligence for optimal thermal comfort: A design approach for electric heating textiles aligned with user preferences
C Lee, J Tan, JJ Tan, HT Tang, WS Yu… - Textile Research …, 2024 - journals.sagepub.com
Human thermal comfort, crucial for well-being and productivity, is often improved by
personal comfort systems that offer tailored control over environmental conditions while …
personal comfort systems that offer tailored control over environmental conditions while …
Main effects and interactions of multiple key factors related to thermal perception
Y Yang, J Lyu, H Du, Z Lian, W Liu, L Duanmu… - Science of the Total …, 2024 - Elsevier
The real indoor environment involves the comprehensive interaction of multiple factors, and
human subjective responses to different factors are influenced by various aspects such as …
human subjective responses to different factors are influenced by various aspects such as …
Double Deep Q-learning Based on Personalized Thermal Comfort Model for HVAC Optimization
H Zhou, D Wang, Z Xu, QS Jia - 2024 IEEE 20th International …, 2024 - ieeexplore.ieee.org
The operation of Heating, Ventilation and AirConditioning (HVAC) systems in buildings has
huge energy saving potential and therefore HVAC optimization can greatly reduce carbon …
huge energy saving potential and therefore HVAC optimization can greatly reduce carbon …
Investigating the Performance of Thermal Comfort Prediction Model with Isolation Forest
In the realm of human-environment interactions, thermal comfort plays a crucial role in
influencing human activity. This sensation, representing an ideal balance where an …
influencing human activity. This sensation, representing an ideal balance where an …
Data-driven Thermal Comfort Prediction Analysis
Y Liu, C Cui, J Xue, J Xue - 2023 IEEE 18th Conference on …, 2023 - ieeexplore.ieee.org
This paper presents a data-driven thermal comfort predictor based on machine learning
algorithms applied to the open-source RP-884 Thermal Comfort Database. The predictor …
algorithms applied to the open-source RP-884 Thermal Comfort Database. The predictor …
Personal thermal comfort in dynamic indoor environments
T Kramer - 2024 - eprints.qut.edu.au
This thesis explores how recent technological trends such as low-cost hardware, data
science and AI can be used to improve and personalise thermal comfort modelling. It …
science and AI can be used to improve and personalise thermal comfort modelling. It …