Disaggregated End-Use Energy Sensing for the Smart Grid

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.

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Bibliographic Details
Published inIEEE pervasive computing Vol. 10; no. 1; pp. 28 - 39
Main Authors Froehlich, J, Larson, E, Gupta, S, Cohn, G, Reynolds, M, Patel, S
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Automatic meter reading
Calibration
Detection
Devices
Disaggregated energy sensing
Electric potential
Electric utilities
Electricity
Energy consumption
Energy efficiency
Gas
Home appliances
Measuring instruments
Meters
Policies
Sensors
Smart grid
Smart grids
Sustainability
Utilities
Water
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1536-1268
1558-2590
DOI:10.1109/MPRV.2010.74