Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Challenges in resource monitoring for residential spaces
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Using circuit-level power measurements in household energy management systems
Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
Meter any wire, anywhere by virtualizing the voltage channel
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Private memoirs of a smart meter
Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building
Disaggregated End-Use Energy Sensing for the Smart Grid
IEEE Pervasive Computing
User-sensitive scheduling of home appliances
Proceedings of the 2nd ACM SIGCOMM workshop on Green networking
Automating energy management in green homes
Proceedings of the 2nd ACM SIGCOMM workshop on Home networks
The hitchhiker's guide to successful residential sensing deployments
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
An operating system for the home
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
Green enterprise computing data: Assumptions and realities
IGCC '12 Proceedings of the 2012 International Green Computing Conference (IGCC)
Managing plug-loads for demand response within buildings
Proceedings of the Third ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings
WaterSense: water flow disaggregation using motion sensors
Proceedings of the Third 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
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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The expanding deployment of renewable energy sources as well as the widespread deployment of smart meters enables and encourages demand management in homes. Like smart meters, most solar or other renewable deployments allow homeowners to carefully monitor energy supply and past energy consumption, however, using this information to drive demand management is still a manual process. The overarching goal of our work is to automate the process of adapting energy demand to meet supply, which requires a comprehensive understanding of home energy use. Though home energy measurement systems exist, they are often intrusive---requiring several physical components and using often limited resources including energy and bandwidth. In this work, we present the design of a system for comprehensive home energy measurement and analyze the resource requirements of the basic system. Using data collected from six deployments, including one in an off-grid home, we then present two techniques for reducing the resource requirements of the system. Our techniques reduce the energy footprint of the system as well as the amount of physical infrastructure required, making adoption of the system more attractive, particularly to those who live in homes powered by renewable energy sources.