Architectural styles and the design of network-based software architectures
Architectural styles and the design of network-based software architectures
sMAP: a simple measurement and actuation profile for physical information
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Proceedings of the 11th international conference on Information Processing in Sensor Networks
Personalized lighting control based on a space model
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Building application stack (BAS)
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
A wi-fi based occupancy sensing approach to smart energy in commercial office buildings
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
BOSS: building operating system services
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
ZonePAC: Zonal Power Estimation and Control via HVAC Metering and Occupant Feedback
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
International Journal of Communication Networks and Distributed Systems
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We report on an experimental case study of personalized lighting controls built on top of an infrastructure designed to enable rapid development of applications in commercial buildings. Our personalized lighting controls (PLC) use an existing standard commercial building lighting automation system and require no new hardware to deploy. PLC presents occupants with a "shared virtual light switch" accessible online and easily viewable on smart phones by scanning a QR code. It embodies three important design principles: individual empowerment with localized human-centered resolution, token effort for energy consumption and return to a low-power state when inactive. After deploying our lighting controls on two new floors of a large research building on campus, we show a sustainable reduction in lighting energy of 50% to 70% on both floors over 12 weeks, continuing to this day. These savings are found to come from a combination of reducing brightness and keeping lights on less often, especially during evenings and weekends.