SCOPES: Smart Cameras Object Position Estimation System
EWSN '09 Proceedings of the 6th European Conference on Wireless Sensor Networks
Energy efficient building environment control strategies using real-time occupancy measurements
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
A multi-sensor based occupancy estimation model for supporting demand driven HVAC operations
Proceedings of the 2012 Symposium on Simulation for Architecture and Urban Design
MLE+: a tool for integrated design and deployment of energy efficient building controls
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
The case for efficient renewable energy management in smart homes
Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Towards an understanding of campus-scale power consumption
Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
POEM: power-efficient occupancy-based energy management system
Proceedings of the 12th international conference on Information processing in sensor networks
SPOT: a smart personalized office thermal control system
Proceedings of the fourth international conference on Future energy systems
An opportunistic activity-sensing approach to save energy in office buildings
Proceedings of the fourth international conference on Future energy systems
Non-Intrusive Occupancy Monitoring using Smart Meters
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
Occupancy inferencing from non-intrusive data sources
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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Heating, cooling and ventilation accounts for 30% energy usage and for 50% of the electricity usage in the United States. Currently, most modern buildings still condition rooms assuming maximum occupancy rather than actual usage. As a result, rooms are often over-conditioned needlessly. This paper proposes an HVAC control strategy based on occupancy prediction and real time occupancy monitoring via a sensor network of cameras. This strategy shows 20.0% potential energy savings while still maintaining ASHRAE building standards.