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 …
[HTML][HTML] A review on occupancy prediction through machine learning for enhancing energy efficiency, air quality and thermal comfort in the built environment
The occupants' presence, activities, and behaviour can significantly impact the building's
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
performance and energy efficiency. Currently, heating, ventilation, and air-conditioning …
Ten questions concerning occupant health in buildings during normal operations and extreme events including the COVID-19 pandemic
Even before the COVID-19 pandemic, people spent on average around 90% of their time
indoors. Now more than ever, with work-from-home orders in place, it is crucial that we …
indoors. Now more than ever, with work-from-home orders in place, it is crucial that we …
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 …
The internet of federated things (IoFT)
The Internet of Things (IoT) is on the verge of a major paradigm shift. In the IoT system of the
future, IoFT, the “cloud” will be substituted by the “crowd” where model training is brought to …
future, IoFT, the “cloud” will be substituted by the “crowd” where model training is brought to …
Non-invasive infrared thermography technology for thermal comfort: A review
P Zheng, Y Liu, H Wu, H Wang - Building and Environment, 2024 - Elsevier
Non-invasive infrared thermography (IRT) technology has emerged as a promising tool for
real-time prediction of thermal comfort and offers a novel approach for controlling heating …
real-time prediction of thermal comfort and offers a novel approach for controlling heating …
Learning-Based personal models for joint optimization of thermal comfort and energy consumption in flexible workplaces
Due to distinct preferences across individuals, a large proportion of people are not satisfied
with the thermal environments of their workplaces. Although recent studies have …
with the thermal environments of their workplaces. Although recent studies have …
Development of a back-propagation neural network and adaptive grey wolf optimizer algorithm for thermal comfort and energy consumption prediction and …
Heating ventilation and air conditioning (HVAC) systems provide a comfortable indoor
thermal environment, but in the process of attaining appropriate indoor thermal comfort …
thermal environment, but in the process of attaining appropriate indoor thermal comfort …
Performance evaluation of personal thermal comfort models for older people based on skin temperature, health perception, behavioural and environmental variables
Personal thermal comfort models hold the promise of a more accurate way to predict thermal
comfort and therefore a more reliable approach for managing indoor thermal environments …
comfort and therefore a more reliable approach for managing indoor thermal environments …
[HTML][HTML] Human physiology for personal thermal comfort-based HVAC control–A review
Standardized methods for thermal comfort assessment already exist, namely the predicted
mean vote (PMV) and the adaptive comfort model, both valid for groups of people. To …
mean vote (PMV) and the adaptive comfort model, both valid for groups of people. To …