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 …

The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: Energy implications of AI-based thermal comfort controls

J Ngarambe, GY Yun, M Santamouris - Energy and Buildings, 2020 - Elsevier
Buildings consume about 40% of globally-produced energy. A notable amount of this energy
is used to provide sufficient comfort levels to the building occupants. Moreover, given recent …

Review on occupant-centric thermal comfort sensing, predicting, and controlling

J **e, H Li, C Li, J Zhang, M Luo - Energy and Buildings, 2020 - Elsevier
Ensuring occupants' thermal comfort and work performance is one of the primary objectives
for building environment conditioning systems. In recent years, there emerged many …

Comparing machine learning algorithms in predicting thermal sensation using ASHRAE Comfort Database II

M Luo, J **e, Y Yan, Z Ke, P Yu, Z Wang, J Zhang - Energy and Buildings, 2020 - Elsevier
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 …

BIM-and IoT-based virtual reality tool for real-time thermal comfort assessment in building enclosures

M Shahinmoghadam, W Natephra, A Motamedi - Building and environment, 2021 - Elsevier
Despite their vast potential for delivering rich and intuitive visualizations of live building
monitoring data, digital twins have been rarely studied in the context of thermal comfort. To …

Recognition and prediction of individual thermal comfort requirement based on local skin temperature

Y Wu, B Cao - Journal of Building Engineering, 2022 - Elsevier
This study focuses on identifying individual thermal comfort requirement using infrared
images. The primary objective is to verify the feasibility of infrared images in predicting …

Opportunities and challenges of using thermal comfort models for building design and operation for the elderly: A literature review

S Zhou, B Li, C Du, H Liu, Y Wu, S Hodder… - … and Sustainable Energy …, 2023 - Elsevier
In a progressively ageing society, providing thermally comfortable environments for the
elderly has received attention from academics and practitioners. Thermal comfort models lay …

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 …

A review of studies and modelling of solar radiation on human thermal comfort in outdoor environment

Y Ji, J Song, P Shen - Building and Environment, 2022 - Elsevier
Thermal environment influences human thermal comfort significantly when people have
outdoor activities. Four environmental parameters determine outdoor thermal comfort, which …

From characteristics to practical applications of skin temperature in thermal comfort research–A comprehensive review

J Zhao, R Wang, Y Wu, C Zhao, Y Qi, S Li… - Building and …, 2024 - Elsevier
Skin temperature is a widely used physiological parameter in thermal comfort research. It
serves as an indicator of personnel's thermal comfort and has the potential to guide the …