TY - JOUR AU - Mady, Alie El-Din AU - Provan, Gregory AU - Ryan, Conor AU - Brown, Kenneth PY - 2011/08/04 Y2 - 2024/03/28 TI - Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation JF - Proceedings of the AAAI Conference on Artificial Intelligence JA - AAAI VL - 25 IS - 1 SE - Special Track on Computational Sustainability and AI DO - 10.1609/aaai.v25i1.7802 UR - https://ojs.aaai.org/index.php/AAAI/article/view/7802 SP - 1371-1376 AB - <p> 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. </p> ER -