A systematic review on role of humidity as an indoor thermal comfort parameter in humid climates

D Amaripadath, R Rahif, M Velickovic, S Attia - Journal of Building …, 2023‏ - Elsevier
Thermal discomfort over time can lead to unproductivity and health issues for the occupants.
Like operative temperature, humidity is an important parameter that affects thermal comfort …

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 …

Personal comfort models–A new paradigm in thermal comfort for occupant-centric environmental control

J Kim, S Schiavon, G Brager - Building and Environment, 2018‏ - Elsevier
A personal comfort model is a new approach to thermal comfort modeling that predicts an
individual's thermal comfort response, instead of the average response of a large …

Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning

J Kim, Y Zhou, S Schiavon, P Raftery, G Brager - Building and environment, 2018‏ - Elsevier
A personal comfort model is a new approach to thermal comfort modeling that predicts
individuals' thermal comfort responses, instead of the average response of a large …

Modeling occupant behavior in buildings

S Carlucci, M De Simone, SK Firth, MB Kjærgaard… - Building and …, 2020‏ - Elsevier
In the last four decades several methods have been used to model occupants' presence and
actions (OPA) in buildings according to different purposes, available computational power …

Comprehensive analysis of the relationship between thermal comfort and building control research-A data-driven literature review

JY Park, Z Nagy - Renewable and Sustainable Energy Reviews, 2018‏ - Elsevier
Buildings are responsible for about 30–40% of global energy demand. At the same time, we
humans spend almost our entire life, up to 80–90% of the time, inside of buildings. Reducing …

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 …

An advanced empirical model for quantifying the impact of heat and climate change on human physical work capacity

J Foster, JW Smallcombe, S Hodder, O Jay… - International Journal of …, 2021‏ - Springer
Occupational heat stress directly hampers physical work capacity (PWC), with large
economic consequences for industries and regions vulnerable to global warming …

Occupancy prediction through machine learning and data fusion of environmental sensing and Wi-Fi sensing in buildings

W Wang, J Chen, T Hong - Automation in Construction, 2018‏ - Elsevier
Occupancy information is crucial to building facility design, operation, and energy efficiency.
Many studies propose the use of environmental sensors (such as carbon dioxide, air …

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 …