Feature extraction for nonintrusive load monitoring based on S-Transform

2014 Clemson University Power Systems Conference, PSC 2014

Volumn , Issue , 2014, Pages

  Jimenez, Yulieth ^a   Duarte, Cesar ^a   Petit, Johann ^a   Carrillo, Gilberto ^b  

^a UNIVERSIDAD INDUSTRIAL DE SANTANDER   (Colombia)

^b UNIVERSIDAD DE SANTANDER   (Colombia)

Author keywords

Feature extraction; Nonintrusive load monitoring; Stockwell transform; Support vector machine; Wavelet transform

Indexed keywords

ARTIFICIAL INTELLIGENCE; FEATURE EXTRACTION; HARDWARE; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS;

AUTOMATIC METHOD; DEMAND REDUCTION; ELECTRIC ENERGIES; ELECTRICITY-CONSUMPTION; NONINTRUSIVE LOAD MONITORING; PATTERN RECOGNITION PROBLEMS; STOCKWELL TRANSFORM; WAVELET PACKET TRANSFORMS;

ELECTRIC LOAD MANAGEMENT;

EID: 84901267331     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PSC.2014.6808109     Document Type: Conference Paper

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