Particle swarm optimization-based support vector machine for forecasting dissolved gases content in power transformer oil

Energy Conversion and Management

Volumn 50, Issue 6, 2009, Pages 1604-1609

  Fei, Sheng wei ^a   Wang, Ming Jun ^a   Miao, Yu bin ^a   Tu, Jun ^a   Liu, Cheng liang ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Particle swarm optimization; Power transformer; Support vector machine; Time series forecasting

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; DISSOLVED GAS; ELECTRIC POWER COMPANIES; EXPERIMENTAL DATUM; FORECASTING ACCURACIES; FREE PARAMETERS; GLOBAL SEARCH CAPABILITIES; GREY MODELS; NON LINEARITIES; OPTIMIZATION METHODS; PARTICLE SWARM OPTIMIZATION; PARTICLE-SWARM OPTIMIZATIONS; REGRESSION PROBLEMS; SMALL SAMPLES; SOCIAL BEHAVIOURS; SUPPORT VECTOR MACHINE; SVM MODELS; TIME SERIES FORECASTING; TRAINING DATUM;

DISSOLUTION; ELECTRIC CURRENTS; ELECTRIC INSTRUMENT TRANSFORMERS; ELECTRIC LOAD FORECASTING; ELECTRIC UTILITIES; IMAGE RETRIEVAL; INSULATING OIL; NEURAL NETWORKS; OIL FILLED TRANSFORMERS; POWER TRANSFORMERS; SUPPORT VECTOR MACHINES; TIME SERIES; TRANSFORMER SUBSTATIONS; VECTORS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 64649086616     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2009.02.004     Document Type: Article

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