Intelligent light control using sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Towards Embedded Wireless-Networked Intelligent Daylighting Systems for Commercial Buildings
SUTC '06 Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing -Vol 1 (SUTC'06) - Volume 01
Design and implementation of a wireless sensor network for intelligent light control
Proceedings of the 6th international conference on Information processing in sensor networks
The hitchhiker's guide to successful residential sensing deployments
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Demo: Snap: rapid sensornet deployment with a sensornet appstore
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Smart blueprints: automatically generated maps of homes and the devices within them
Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
A study towards applying thermal inertia for energy conservation in rooms
ACM Transactions on Sensor Networks (TOSN)
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Lighting is the largest single energy consumer in commercial buildings. In this paper, we demonstrate how to improve the effectiveness of daylight harvesting with a single light sensor on each window. Our system automatically infers the window orientation and the cloudiness levels of the current sky to predict the incoming daylight and set window transparency accordingly. We evaluate our system with ten weeks of empirical data traces collected from windows around an office building and compare our approach with non-predictive feedback control. Experimental results show that our scheme can infer the orientation of a window to within ±7° of the actual orientation and improve energy savings by 10% over existing approaches without sacrificing user comfort.