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

Alie El-Din Mady, Gregory M. Provan, Conor Ryan, Kenneth N. Brown

AAAI 2011 pp. 1371-1376

doi:10.1609/AAAI.V25I1.7802 /aaai/2011/mady2011aaai-stochastic/

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.

PDF AAAI Semantic Scholar

Cite

Text

Mady et al. "Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation." AAAI Conference on Artificial Intelligence, 2011. doi:10.1609/AAAI.V25I1.7802

Markdown

[Mady et al. "Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation." AAAI Conference on Artificial Intelligence, 2011.](https://mlanthology.org/aaai/2011/mady2011aaai-stochastic/) doi:10.1609/AAAI.V25I1.7802

BibTeX

@inproceedings{mady2011aaai-stochastic,
  title     = {{Stochastic Model Predictive Controller for the Integration of Building Use and Temperature Regulation}},
  author    = {Mady, Alie El-Din and Provan, Gregory M. and Ryan, Conor and Brown, Kenneth N.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2011},
  pages     = {1371-1376},
  doi       = {10.1609/AAAI.V25I1.7802},
  url       = {https://mlanthology.org/aaai/2011/mady2011aaai-stochastic/}
}