Support vector machine based methods for non-intrusive identification of miscellaneous electric loads

IECON Proceedings (Industrial Electronics Conference)

Volumn , Issue , 2012, Pages 4866-4871

  Du, Liang ^a   Yang, Yi ^b   He, Dawei ^a   Harley, Ronald G ^a,c   Habetler, Thomas G ^a   Lu, Bin ^b  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b EATON CORPORATION   (United States)

^c UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

direct load control; load identification; smart buildings; support vector machine

Indexed keywords

BUILDING MANAGEMENT; DEMAND RESPONSE; DIRECT LOAD CONTROL; FEATURE VALUES; HYBRID IDENTIFICATION; INTELLIGENT METHOD; LOAD IDENTIFICATION; NON-INTRUSIVE; PEAK SHAVING; REAL WORLD DATA; SUPERVISED SELF-ORGANIZING MAP;

CONFORMAL MAPPING; ELECTRIC LOADS; ENERGY CONSERVATION; ENERGY UTILIZATION; INDUSTRIAL ELECTRONICS; INTELLIGENT BUILDINGS;

SUPPORT VECTOR MACHINES;

EID: 84872929364     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2012.6389580     Document Type: Conference Paper

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