Thermal comfort prediction using normalized skin temperature in a uniform built environment
Thermal comfort prediction can be instrumental in bridging the gap between energy efficiency and occupants’ comfort by utilizing the predicted thermal state (Discomfort/Comfort) of occupant as a control criterion for the cooling systems in buildings. Skin temperature, through its heat-transfer prope...
Saved in:
Main Authors: | Chaudhuri, Tanaya, Zhai, Deqing, Soh, Yeng Chai, Li, Hua, Xie, Lihua |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/88311 http://hdl.handle.net/10220/44835 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Machine Learning based Prediction of Thermal Comfort in Buildings of Equatorial Singapore
by: Chaudhuri, Tanaya, et al.
Published: (2017) -
Random forest based thermal comfort prediction from gender-specific physiological parameters using wearable sensing technology
by: Zhai, Deqing, et al.
Published: (2018) -
Energy efficiency improvement with k-means approach to thermal comfort for ACMV systems of smart buildings
by: Zhai, Deqing, et al.
Published: (2018) -
A feedforward neural network based indoor-climate control framework for thermal comfort and energy saving in buildings
by: Chaudhuri, Tanaya, et al.
Published: (2021) -
Thermal comfort for semi-outdoor spaces in the tropics
by: SONG JIAFANG
Published: (2014)