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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Vydáno v:	2017 ACM IEEE 8th International Conference on Cyber Physical Systems (ICCPS) s. 177 - 186
Hlavní autoři:	Jia, Ruoxi, Dong, Roy, Sastry, S. Shankar, Spanos, Costas J.
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	New York, NY, USA ACM 18.04.2017
Edice:	ACM Other Conferences
Témata:	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
On-line přístup:	Získat plný text
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