@inbook{572c1c50b6dd4d51a474f5ed7df6a154,
title = "Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation",
abstract = "The aim of a modern Building Automation System (BAS) is to enhance interactive control strategies for energy efficiency and user comfort. In this context, we develop a novel control algorithm that uses a stochastic building occupancy model to improve mean energy efficiency while minimizing expected discomfort. We compare by simulation our Stochastic Model Predictive Control (SMPC) strategy to the standard heating control method to empirically demonstrate a 4.3\% reduction in energy use and 38.3\% reduction in expected discomfort.",
author = "Mady, \{Alie El Din\} and Provan, \{Gregory M.\} and Conor Ryan and Brown, \{Kenneth N.\}",
note = "Publisher Copyright: Copyright {\textcopyright} 2011, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 25th AAAI Conference on Artificial Intelligence, AAAI 2011 ; Conference date: 07-08-2011 Through 11-08-2011",
year = "2011",
month = aug,
day = "11",
language = "English",
series = "Proceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011",
publisher = "AAAI Press",
pages = "1371--1376",
booktitle = "Proceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011",
}
