Keywords: Thermal sensation vote
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Data-driven framework for calibrated thermal comfort assessment and thermal sensation prediction of construction workers during summer

Hyeongjun Mun, Jaewook Jeong, Louis Kumi, Jaemin Jeong, Minji Kim, Minwoo Song
Journal: Engineering, Construction and Architectural Management
Engineering, Construction and Architectural Management 1–23.
https://doi.org/10.1108/ECAM-01-2026-0060
Published: 03 September 2026
... (UTCI) were calculated using public, calibrated, and field datasets. Machine learning regression models were applied to predict Mean Thermal Sensation Vote. Findings Calibration significantly improved agreement with field measurements, reducing RMSE from 1.61 °C to 0.84 °C for air temperature, from...
View article titled, Data-driven framework for calibrated thermal comfort assessment and thermal sensation prediction of construction workers during summer
Open the PDF for Data-driven framework for calibrated thermal comfort assessment and thermal sensation prediction of construction workers during summer in another window
Add to Citation Manager for Data-driven framework for calibrated thermal comfort assessment and thermal sensation prediction of construction workers during summer
Includes: Supplementary data
This Feature Is Available To Subscribers Only

or Create an Account

Close subscription notice
Close access options