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Disaggregated End-Use Energy Sensing for the Smart Grid

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6 Author(s)
Froehlich, J. ; Univ. of Washington, Seattle, WA, USA ; Larson, E. ; Gupta, S. ; Cohn, G.
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This article surveys existing and emerging disaggregation techniques for energy-consumption data and highlights signal features that might be used to sense disaggregated data in an easily installed and cost-effective manner.

Published in:

Pervasive Computing, IEEE  (Volume:10 ,  Issue: 1 )