Feature Reduction for Neural Network based Small-Signal Stability Assessment, PSCC 2002, Sevilla, Spain, June 24-28, 2002

by Teeuwsen, S.P.; Erlich, I.; El-Sharkawi, M.A.

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.