"Development of a Bayesian based adaptive optimisation algorithm for th" by Wenye Lin and Georgios Kokogiannakis
Abstract The development of a Bayesian based adaptive optimisation algorithm for optimising the indoor thermostat settings in a large agile open plan office is presented. Occupant expressions of thermal dissatisfaction and indoor environmental conditions were collected using densely-placed devices over a period of approximately 19 months. A logistic regression model was employed to identify the optimal settings, using regression coefficients that were estimated using Bayesian inference. A serie...
Adaptive Optimisation Gile Open Plan Offices Ecursive Bayesian Inference Hermal Preferences Thermostat Settings
Source: uow.edu.au