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

By Joyce Kim, Stefano Schiavon, Gail Brager. 2018

464 citations recorded by the source corpus.

Subfields: Building and Construction, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/3e6e253cd1bb782074cfb51cc44261117bde4e83

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Shichao Liu
2. Stefano Schiavon
3. Toby Cheung
4. Gail Brager

In Environmental Engineering

1. Shichao Liu
2. Stefano Schiavon
3. Toby Cheung
4. Gail Brager

Citations in the corpus

• Personal thermal comfort models with wearable sensors (2019, background): “As such, personal models are inexplicitly determined using data-driven approaches such as continuous training of machine learning algorithms over streaming data [17].”
• Analysis of the accuracy on PMV – PPD model using the ASHRAE Global Thermal Comfort Database II (2019, background): “Another alternative is to use personal comfort models [44] which predict individual thermal comfort responses rather than the average response of a larger”