Privacy-enhanced architecture for occupancy-based HVAC Control

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...

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Veröffentlicht in:	2017 ACM IEEE 8th International Conference on Cyber Physical Systems (ICCPS) S. 177 - 186
Hauptverfasser:	Jia, Ruoxi, Dong, Roy, Sastry, S. Shankar, Spanos, Costas J.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 18.04.2017
Schriftenreihe:	ACM Other Conferences
Schlagworte:	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
ISBN:	9781450349659, 145034965X
Online-Zugang:	Volltext
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