An In Situ System for Annotation of Home Energy Data

  • Authors:
  • Sami Rollins;Nilanjan Banerjee;Lazeeb Choudhury;David Lachut

  • Affiliations:
  • University of San Francisco;University of Maryland, Baltimore County;University of San Francisco;University of Maryland, Baltimore County

  • Venue:
  • Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
  • Year:
  • 2013

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Abstract

This work presents a system for collecting user activity annotations using in-home distributed energy monitoring combined with a novel algorithm that generates device-specific profiles used to identify potentially important changes in user context. In a five-week study of five homes, the system was able to generate profiles for 80% of the devices studied. Moreover, between four and five important changes in user context were identified when background loads were accurately distinguished.