Application of machine learning in thermal comfort studies: A review of methods, performance and challenges
ZQ Fard, ZS Zomorodian, SS Korsavi - Energy and Buildings, 2022 - Elsevier
This paper provides a systematic review on the application of Machine Learning (ML) in
thermal comfort studies to highlight the latest methods and findings and provide an agenda …
thermal comfort studies to highlight the latest methods and findings and provide an agenda …
Review on occupant-centric thermal comfort sensing, predicting, and controlling
Ensuring occupants' thermal comfort and work performance is one of the primary objectives
for building environment conditioning systems. In recent years, there emerged many …
for building environment conditioning systems. In recent years, there emerged many …
Personal thermal comfort models with wearable sensors
A personal comfort model is an approach to thermal comfort modeling, for thermal
environmental design and control, that predicts an individual's thermal comfort response …
environmental design and control, that predicts an individual's thermal comfort response …
Non-invasive (non-contact) measurements of human thermal physiology signals and thermal comfort/discomfort poses-a review
Heating, ventilation and air-conditioning (HVAC) systems have been adopted to create
comfortable, healthy and safe indoor environments. In the control loop, the technical feature …
comfortable, healthy and safe indoor environments. In the control loop, the technical feature …
State of the art review on the HVAC occupant-centric control in different commercial buildings
Heating ventilation and air conditioning (HVAC) systems control that takes occupant
information into account is called HVAC occupant-centric control (OCC), which strikes better …
information into account is called HVAC occupant-centric control (OCC), which strikes better …
Comparing machine learning algorithms in predicting thermal sensation using ASHRAE Comfort Database II
Predicting building occupants' thermal comfort via machine learning (ML) is a hot research
topic. Many algorithms and data processing methods have been applied to predict thermal …
topic. Many algorithms and data processing methods have been applied to predict thermal …
A hybrid deep transfer learning strategy for thermal comfort prediction in buildings
Since the thermal condition of living spaces affects the occupants' productivity and their
quality of life, it is important to design effective heating, ventilation and air conditioning …
quality of life, it is important to design effective heating, ventilation and air conditioning …
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 …
State-of-the-art, challenges and new perspectives of thermal comfort demand law for on-demand intelligent control of heating, ventilation, and air conditioning systems
The indoor thermal environment in buildings, industry, and other fields greatly affects human
thermal comfort, productivity, energy consumption, and even health. The heating, ventilation …
thermal comfort, productivity, energy consumption, and even health. The heating, ventilation …
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 …