Fuzzy information granulated particle swarm optimisation-support vector machine regression for the trend forecasting of dissolved gases in oil-filled transformers

IET Electric Power Applications

Volumn 5, Issue 2, 2011, Pages 230-237

  Liao, R J ^a   Zheng, H B ^a   Grzybowski, S ^b   Yang, L J ^a   Tang, C ^a   Zhang, Y Y ^a  

^a CHONGQING UNIVERSITY   (China)

^b MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISSOLVED GAS; EFFECTIVE TOOL; FORECASTING INTERVAL; FUZZY INFORMATION; FUZZY INFORMATION GRANULATION; GAS CONTENT; GAS DEVELOPMENT; OIL IMMERSED TRANSFORMERS; PARTICLE SWARM; PREMATURE CONVERGENCE; REGRESSION MODEL; STANDARD PSO; TREND FORECASTING; VECTOR MACHINES;

DECISION MAKING; ELECTRIC TRANSFORMER TESTING; FORECASTING; GASES; GRANULATION; METADATA; OIL FILLED TRANSFORMERS; PARTICLE SWARM OPTIMIZATION (PSO); REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES;

PARTICLES (PARTICULATE MATTER);

EID: 79956307299     PISSN: 17518660     EISSN: 17518679     Source Type: Journal    
DOI: 10.1049/iet-epa.2010.0103     Document Type: Article

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