Feature Reduction for Neural Network based Small-Signal Stability Assessment, PSCC 2002, Sevilla, Spain, June 24-28, 2002
Abstract (Summary)This paper introduces several feature extraction and selection techniques.Previous studies showed good results when neural networks are applied to the small-signal stability assessment. However the use of reduction techniques can decrease the number of features and thus the number of quantities, which need to be observed, measured and transmitted, respectively.
Source Type:Master's Thesis
Keywords:elektrotechnik universitaet duisburg essen
Date of Publication:04/14/2003