Support vector machine forecasting method improved by chaotic particle swarm optimization and its application

Journal of Central South University of Technology (English Edition)

Volumn 16, Issue 3, 2009, Pages 478-481

  Li, Yan Bin ^a,b   Zhang, Ning ^a   Li, Cun Bin ^b  

^a BEIHANG UNIVERSITY   (China)

^b NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Chaotic searching; Particle swarm optimization (PSO); Short term load forecast; Support vector machine (SVM)

Indexed keywords

CHAOTIC SEARCHING; FORECAST ACCURACY; FORECASTING METHODS; FORECASTING MODELS; GLOBAL SEARCHING; IMPROVED PSO; KEY PARAMETERS; NEW MODEL; POWER MARKETS; SHORT TERM; SHORT TERM LOAD FORECAST; SIMULATION RESULT; SOUTH CHINA; SUPPORT VECTOR MACHINE (SVM); SVM MODEL; TIME COST;

ELECTRIC LOAD FORECASTING; IMAGE RETRIEVAL; SUPPORT VECTOR MACHINES; VECTORS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 67649999534     PISSN: 10059784     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11771-009-0080-9     Document Type: Article

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