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 …

A comprehensive review of thermal comfort studies in urban open spaces

D Lai, Z Lian, W Liu, C Guo, W Liu, K Liu… - Science of the Total …, 2020 - Elsevier
Urban open spaces provide various benefits to large populations in cities. Since thermally
comfortable urban open spaces improve the quality of urban living, an increasing number of …

A hybrid deep transfer learning strategy for thermal comfort prediction in buildings

N Somu, A Sriram, A Kowli, K Ramamritham - Building and Environment, 2021 - Elsevier
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 …

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 …

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 …

Discussion on inapplicability of Universal Thermal Climate Index (UTCI) for outdoor thermal comfort in cold region

T Nie, D Lai, K Liu, Z Lian, Y Yuan, L Sun - Urban Climate, 2022 - Elsevier
Abstract The Universal Thermal Climate Index (UTCI) is one of the commonly used thermal
indices to evaluate outdoor thermal comfort. In order to explore its applicability in cold …

A machine learning led investigation to understand individual difference and the human-environment interactive effect on classroom thermal comfort

H Lan, HC Hou, Z Gou - Building and Environment, 2023 - Elsevier
The availability of the global thermal open database means that machine learning models
have been increasingly applied in thermal comfort studies in order to understand the factors …

A method of predicting the dynamic thermal sensation under varying outdoor heat stress conditions in summer

T Xu, R Yao, C Du, X Huang - Building and Environment, 2022 - Elsevier
Heat stress events in urban areas are increasing as a result of global warming and urban
heat islands. In response to heat stress, outdoor activators naturally often move themselves …

Machine learning-based prediction of outdoor thermal comfort: Combining Bayesian optimization and the SHAP model

R Guo, B Yang, Y Guo, H Li, Z Li, B Zhou, B Hong… - Building and …, 2024 - Elsevier
Rising global temperatures have resulted in urban heat waves in recent years, endangering
residents' health and even their lives. As a result, accurate outdoor thermal comfort …

A local thermal sensation model suitable for thermal comfort evaluation of sensitive body segments

Z He, X Zhao, Y Yin, X Chen - Sustainable Cities and Society, 2023 - Elsevier
Nowadays, an indoor environment is created by heating, ventilation, air-conditioning, and
cooling (HVAC) systems that meet the cooling needs of occupants in summer, however …