Nonintrusive load monitoring using wavelet design and machine learning

IEEE Transactions on Smart Grid

Volumn 7, Issue 1, 2016, Pages 320-328

  Gillis, Jessie M ^a   Alshareef, Sami M ^a   Morsi, Walid G ^a  

^a UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY   (Canada)

Author keywords

Load signature; Machine learning; Nonintrusive load monitoring (NILM); Wavelet design

Indexed keywords

ARTIFICIAL INTELLIGENCE; IMAGE PROCESSING; LEARNING SYSTEMS;

DAUBECHIES FILTERS; NONINTRUSIVE LOAD MONITORING; PREDICTION ACCURACY; PROCRUSTES ANALYSIS; PROMINENT FEATURES; SYSTEM APPLICATIONS; WAVELET COEFFICIENTS; WAVELET FUNCTION;

DISCRETE WAVELET TRANSFORMS;

EID: 84960428666     PISSN: 19493053     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSG.2015.2428706     Document Type: Article

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