A systematic review of personal thermal comfort models

LA Martins, V Soebarto, T Williamson - Building and Environment, 2022 - Elsevier
Personal comfort models have shown to predict specific thermal comfort requirements more
accurately than aggregate models, increasing occupant acceptability and associated energy …

Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques

GH Merabet, M Essaaidi, MB Haddou… - … and Sustainable Energy …, 2021 - Elsevier
Building operations represent a significant percentage of the total primary energy consumed
in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning …

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 …

Data-driven personal thermal comfort prediction: A literature review

Y Feng, S Liu, J Wang, J Yang, YL Jao… - … and Sustainable Energy …, 2022 - Elsevier
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 …

[HTML][HTML] A hybrid active learning framework for personal thermal comfort models

ZD Tekler, Y Lei, Y Peng, C Miller, A Chong - Building and Environment, 2023 - Elsevier
Personal thermal comfort models are used to predict individual-level thermal comfort
responses to inform design and control decisions of buildings to achieve optimal …

Personal thermal comfort models based on physiological measurements–A design of experiments based review

K Chen, Q Xu, B Leow, A Ghahramani - Building and Environment, 2023 - Elsevier
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 …

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

X Zhao, Y Yin, Z He, Z Deng - Energy and Buildings, 2023 - Elsevier
The indoor thermal environment in buildings, industry, and other fields greatly affects human
thermal comfort, productivity, energy consumption, and even health. The heating, ventilation …

A novel state of health prediction method for battery system in real-world vehicles based on gated recurrent unit neural networks

J Hong, K Li, F Liang, H Yang, C Zhang, Q Yang… - Energy, 2024 - Elsevier
State of health (SOH) is crucial to battery management system. However, SOH accuracy and
reliability is difficult to be guaranteed owing to complex ageing mechanisms and driving …

Prediction of individual thermal comfort based on ensemble transfer learning method using wearable and environmental sensors

H Park, DY Park - Building and Environment, 2022 - Elsevier
Thermal comfort is a critical issue in achieving an acceptable indoor environment and
managing building energy use. However, it is difficult to precisely recognize thermal comfort …

A comprehensive review of impact assessment of indoor thermal environment on work and cognitive performance-Combined physiological measurements and …

S Li, X Zhang, Y Li, W Gao, F Xiao, Y Xu - Journal of Building Engineering, 2023 - Elsevier
Ensuring occupants' work or cognitive performance and maintaining thermal comfort are
important targets of indoor thermal environment management. Physiological indicators are …