Appliance activity monitoring using wireless sensors

  • Authors:
  • Anthony Schoofs;Antonio G. Ruzzelli;Gregory M. P. O'Hare

  • Affiliations:
  • University College Dublin, Dublin, Ireland;University College Dublin, Dublin, Ireland;University College Dublin, Dublin, Ireland

  • Venue:
  • Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
  • Year:
  • 2010

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Abstract

Appliance load monitoring systems aim to achieve per appliance energy decomposition. Such systems however lack automated set-up, which precludes widespread roll-outs. This work illustrates how human supervision can be reduced to a strict minimum; appliance activity states are captured with cheap wireless sensors, which enables accurate automated energy data annotation. This paper demonstrates the accuracy of this technique via an intuitive graphical user interface.