Disaggregated End-Use Energy Sensing for the Smart Grid

By Jon E. Froehlich, Eric C. Larson, Sidhant Gupta, Gabe Cohn, Matthew S. Reynolds, Shwetak N. Patel. IEEE pervasive computing, 2011

331 citations recorded by the source corpus.

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.

Subfields: Building and Construction, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/1b2d5444faa33d41f9315f623f5163eb73cdb49b

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In Electrical and Electronic Engineering

1. Gerhard P. Hancke Jr.
2. Bruno Silva

Citations in the corpus

• The Role of Advanced Sensing in Smart Cities (2012, methodology): “Other sensing approaches described in [52] are based on voltage signatures, where voltage noise signatures or current signatures are used to classify operation of electrical appliances, by observing the spectral envelope of the harmonics and comparing these observations to existing templates.”