Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation

Authors

  • Alie El-Din Mady University College Cork
  • Gregory Provan University College Cork
  • Conor Ryan University College Cork
  • Kenneth Brown University College Cork

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.

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Published

2011-08-04

How to Cite

Mady, A. E.-D., Provan, G., Ryan, C., & Brown, K. (2011). Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation. Proceedings of the AAAI Conference on Artificial Intelligence, 25(1), 1371-1376. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/7802

Issue

Section

Special Track on Computational Sustainability and AI