NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
Energy Metering for Free: Augmenting Switching Regulators for Real-Time Monitoring
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Design and implementation of a high-fidelity AC metering network
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Experiences with a high-fidelity wireless building energy auditing network
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
The energy dashboard: improving the visibility of energy consumption at a campus-wide scale
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
SenShare: transforming sensor networks into multi-application sensing infrastructures
EWSN'12 Proceedings of the 9th European conference on Wireless Sensor Networks
Flexible power consumption management in smart homes
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Implementing home energy management system with UPnP and mobile applications
Computer Communications
Active actuator fault detection and diagnostics in HVAC systems
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
An opportunistic activity-sensing approach to save energy in office buildings
Proceedings of the fourth international conference on Future energy systems
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Automated building energy management systems are essential to enabling the development of mass-market, low-energy buildings. In existing and future buildings, the impacts of occupant behaviors contribute significantly to the total energy efficiency. As building technologies and materials improve, the relative impact of behavioral factors is more significant. We propose a general framework where building systems can share information in order to optimize performance. To be successful, such a system must be responsive, intuitive, robust, and scalable. As a first step toward achieving these goals, we present a prototype distributed control system for building energy management that uses wireless sensor network-class nodes. Using protocol independent multicast, sensors and controllers are allowed to efficiently share information in a distributed peer-to-peer fashion. Our prototype system achieved an energy savings of 7.1% - 14.6% by implementing a relatively simple control policy. Based on the results of this this work we have identified three key areas for future work.