Training a FIS with EPSO under an entropy criterion for wind power prediction

2006 9th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS

Volumn , Issue , 2006, Pages

  Miranda, V ^a,b,c   Cerqueira, C ^b,c   Monteirp, C ^b,d  

^a IEEE

^b UNIVERSITY OF PORTO   (Portugal)

^c UNIVERSITY OF PORTO   (Portugal)

^d Faculty of Sciences of the University of Porto ^*

Author keywords

Fuzzy inference systems; Information theoretic learning; Power systems

Indexed keywords

(N-1) CRITERION; APPLIED (CO); ERROR DISTRIBUTIONS; EVOLUTIONARY PARTICLE SWARM OPTIMIZATION (EPSO); INFORMATION-THEORETIC LEARNING (ITL); INTERNATIONAL CONFERENCES; MEASURE OF INFORMATION; MODEL PARAMETER ESTIMATION; PARZEN WINDOWING; POWER SYSTEMS; PROBABILISTIC METHODS; RENYI'S ENTROPY; TAKAGI-SUGENO FUZZY INFERENCE SYSTEMS; WIND PARKS; WIND POWER PREDICTION;

ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; INFERENCE ENGINES; INFORMATION THEORY; MOBILE TELECOMMUNICATION SYSTEMS; MODAL ANALYSIS; PARTICLE SWARM OPTIMIZATION (PSO); POWER TRANSMISSION; PROBABILITY; PROBABILITY DISTRIBUTIONS; RENEWABLE ENERGY RESOURCES; STEEL ANALYSIS; WIND POWER;

PARAMETER ESTIMATION;

EID: 46149095284     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PMAPS.2006.360208     Document Type: Conference Paper

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