ANN design for fast security evaluation of interconnected systems with large wind power production

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

Volumn , Issue , 2006, Pages

  Vasconcelos, Helena ^b   Pecas Lopes J A ^a,b  

^a IEEE

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

Artificial neural networks; Dynamic behavior; Feature selection; Interconnected systems; Linear regression; Security assessment; Wind generation

Indexed keywords

BACKPROPAGATION; ELECTRIC POWER SYSTEM INTERCONNECTION; ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION NETWORKS; FOOD PROCESSING; INTERCONNECTION NETWORKS; LINEAR REGRESSION; NEURAL NETWORKS; POWER TRANSMISSION; PROBABILITY; REGRESSION ANALYSIS; RENEWABLE ENERGY RESOURCES; TESTING; WIND POWER;

APPLIED (CO); ARTIFICIAL NEURAL NETWORK (ANNS); COMPARATIVE ANALYSIS; DYNAMIC SECURITY; FAST EVALUATION; FEATURE SUBSET SELECTION (FSS); IN ORDER; INPUT/OUTPUT (I/O); INTERCONNECTED POWER SYSTEMS; INTERCONNECTED SYSTEMS; INTERNATIONAL CONFERENCES; LINEAR REGRESSION (LR); POWER SYSTEMS; PROBABILISTIC METHODS; SECURITY ASSESSMENT (LPSA); SECURITY EVALUATIONS; SECURITY STRUCTURES; STATISTICAL HYPOTHESIS TESTING; SYSTEM SECURITY; VARIABLE SELECTION; WIND POWER PRODUCTION;

ERROR ANALYSIS;

EID: 46149099586     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PMAPS.2006.360206     Document Type: Conference Paper

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