Thermal Sensation
- Citation Author(s):
-
Mustafa Cakir
- Submitted by:
- Mustafa Cakir
- Last updated:
- DOI:
- 10.21227/9s4y-e116
- Research Article Link:
- Links:
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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
