Thermal preference

Inference of thermal preference profiles for personalized thermal environments with actual building occupants

In this paper we present a methodology to map individual occupants' thermal preference votes and indoor environmental variables into personalized preference models. Our modeling approach includes a new Bayesian classification and inference algorithm …

A Bayesian approach for probabilistic classification and inference of occupant thermal preferences in office buildings

This paper presents a new data-driven method for learning personalized thermal preference profiles, by formulating a combined classification and inference problem, without developing different models for each occupant. Different from existing …