Privacy-enhanced architecture for occupancy-based HVAC Control

• Published in: 2017 ACM IEEE 8th International Conference on Cyber Physical Systems (ICCPS) pp. 177 - 186
• Main Authors: Jia, Ruoxi, Dong, Roy, Sastry, S. Shankar, Spanos, Costas J.
• Format: Conference Proceeding
• Language: English
• Published: New York, NY, USA ACM 18.04.2017
• Series: ACM Other Conferences
• Subjects: Buildings; Computing methodologies > Artificial intelligence > Control methods; Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies; Control systems; Data privacy; Distortion; Distortion measurement; Energy; HVAC; model predictive control; occupancy; optimization; Privacy; Security and privacy > Human and societal aspects of security and privacy > Privacy protections; model predictive control; privacy; HVAC; occupancy; optimization; energy

Large-scale sensing and actuation infrastructures have allowed buildings to achieve significant energy savings; at the same time, these technologies introduce significant privacy risks that must be addressed. In this paper, we present a framework for modeling the trade-off between improved control p...