Design and implementation of a high-fidelity AC metering network
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
sMAP: a simple measurement and actuation profile for physical information
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
HBCI: human-building-computer interaction
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
@scale: insights from a large, long-lived appliance energy WSN
Proceedings of the 11th international conference on Information Processing in Sensor Networks
A living laboratory study in personalized automated lighting controls
Proceedings of the Third 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
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Buildings are some of the largest energy consumers in the world and yet occupants are regularly dissatisfied with the interior environment in large part due to thermal discomfort [7]. Studies show that given personal control over their environment, occupants are comfortable in a much larger range of ambient temperatures [2]. We present a personalized control smartphone application designed with the dual goals of increasing occupant comfort and achieving building-wide energy savings. The application allows occupants to directly control the lighting and heating/cooling in their vicinity. Using wireless localization combined with data from existing sensors in the building, we estimate room occupancy and use this to dynamically adjust ventilation and air conditioning to save energy in the building.