Thermal Sensation

Citation Author(s):
Mustafa
Cakir
Submitted by:
Mustafa Cakir
Last updated:
Wed, 08/18/2021 - 13:54
DOI:
10.21227/7b6p-8j51
Data Format:
*.csv
Links:
ASHRAE Global Thermal Comfort Database II
License:
Creative Commons Attribution
89 Views
Categories:
Artificial Intelligence
Keywords:
thermal sensation
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Abstract 

This is a subset of the ASHRAE Global Comfort Database that we used in our study to prove that Deep learning methods performs better than shallow methods predicting the thermal sensation.

Instructions: 

Sample Dataset is a subset of ASHRAE global thermal comfort database II which can be found https://doi.org/10.6078/D1F671

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    Documentation

    AttachmentSize
    File readme.md1.52 KB

     

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