Personal thermal comfort models based on physiological measurements–A design of experiments based review
Researchers have shown that the physiological-based personal comfort models (PCM) are
capable of addressing individual differences as well as transient thermal comfort. Given that …
capable of addressing individual differences as well as transient thermal comfort. Given that …
A systematic review of personal thermal comfort models
Personal comfort models have shown to predict specific thermal comfort requirements more
accurately than aggregate models, increasing occupant acceptability and associated energy …
accurately than aggregate models, increasing occupant acceptability and associated energy …
Towards non-intrusive and high accuracy prediction of personal thermal comfort using a few sensitive physiological parameters
C Shan, J Hu, J Wu, A Zhang, G Ding, LX Xu - Energy and Buildings, 2020 - Elsevier
The existing thermal comfort models that pursue high personal thermal comfort prediction
accuracy inevitably cause disturbances because they require data measured from multiple …
accuracy inevitably cause disturbances because they require data measured from multiple …
[HTML][HTML] A physiological-signal-based thermal sensation model for indoor environment thermal comfort evaluation
SL Pao, SY Wu, JM Liang, IJ Huang, LY Guo… - International Journal of …, 2022 - mdpi.com
Traditional heating, ventilation, and air conditioning (HVAC) control systems rely mostly on
static models, such as Fanger's predicted mean vote (PMV) to predict human thermal …
static models, such as Fanger's predicted mean vote (PMV) to predict human thermal …
Physiological responses and data-driven thermal comfort models with personal conditioning devices (PCD)
Thermal comfort in uniform environments created by HVAC systems have been investigated
for decades. However, the case in nonuniform microenvironments created by the personal …
for decades. However, the case in nonuniform microenvironments created by the personal …
A novel theoretical model for predicting the individuals' thermal sensations based on air temperature and biomarkers measured by wearable devices
Optimal control of indoor thermal environments based on real-time monitoring of occupants'
feeling of warmth (aka thermal sensation) is one of the effective strategies to improve …
feeling of warmth (aka thermal sensation) is one of the effective strategies to improve …
Comparison among different modeling approaches for personalized thermal comfort prediction when using personal comfort systems
Technologies of personalized thermal comfort prediction (PTCP) and personal comfort
system (PCS) are effective for achieving both goals of occupants' comfort improvement and …
system (PCS) are effective for achieving both goals of occupants' comfort improvement and …
Machine learning algorithms applied to a prediction of personal overall thermal comfort using skin temperatures and occupants' heating behavior
K Katić, R Li, W Zeiler - Applied ergonomics, 2020 - Elsevier
Thermal comfort modeling has been of interest in built environment research for decades.
Mostly the modeling approaches focused on an average response of a large group of …
Mostly the modeling approaches focused on an average response of a large group of …
Data-driven personal thermal comfort prediction: A literature review
Personal thermal comfort prediction modeling has become a trending topic in efforts to
improve individual indoor comfort, a notion that is closely related to the design and …
improve individual indoor comfort, a notion that is closely related to the design and …
Comparison of models for predicting winter individual thermal comfort based on machine learning algorithms
Abstract Machine learning-based human thermal comfort prediction is becoming
increasingly popular as artificial intelligence (AI) technologies advance. Human skin …
increasingly popular as artificial intelligence (AI) technologies advance. Human skin …