Inference

Bayesian classification and inference of occupant visual preferences in daylit perimeter private offices

The objective of this paper is to understand the complex interactions related to visual environment control in private offices of perimeter building zones and to develop a new method for learning occupant visual preferences. In the first step of our …

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 …