Design and implementation of a high-fidelity AC metering network
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Profiling energy use in households and office spaces
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
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
The Kukui Cup: A Dorm Energy Competition Focused on Sustainable Behavior Change and Energy Literacy
HICSS '11 Proceedings of the 2011 44th Hawaii International Conference on System Sciences
The hitchhiker's guide to successful residential sensing deployments
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Minimizing intrusiveness in home energy measurement
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Accurate real-time occupant energy-footprinting in commercial buildings
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
A Distributed Energy Monitoring and Analytics Platform and its Use Cases
Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
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We present Emonix, a distributed, low-cost system for monitoring and analyzing energy consumption patterns in buildings. Emonix is designed with our custom energy sensing hardware and integrated communication units to be efficiently mounted in breaker panels of buildings. In contrast to plug-based monitoring systems, this approach is less intrusive to users because it does not intrude on their physical space, yet it still provides fine-grained real-time energy data in both space and time. The Emonix hardware platform is open, modular, and extensible. It provides an accessible data and configuration API for users, and we believe it is useful to the broad community. To demonstrate the usefulness of this platform, we have deployed this infrastructure on two campus dormitories covering 60 rooms and 120 residents. We have been operating this infrastructure as an energy monitoring service for the residents for more than four months to help them understand their consumption patterns at different timescales. Our results indicate significant temporal variations in energy consumption patterns at different time scales, and that a small fraction of occupants can consume a disproportionately large amount of energy in such buildings.