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- W2365647939 abstract "In allusion to high-dimensional feature quantities of power system,a feature selection method that can effectively reduce the dimensionality is proposed.In the proposed method,according to the principle of the minimum probability of test samples falling into indiscriminative zone between the categories the feature combinations are selected.The core of the proposed algorithm consists in the determination of filtration criterion of feature combinations,and the criterion is formed based on the probability by which the sample points fall into the overlapping zone between categories,so the proposed method is simple and intuitional.To assess transient voltage stability of power system,firstly an attribute set of original features for the assessment of transient voltage stability is established;then the feature combinations after the dimensionality reduction by feature selection are taken as the input of the decision tree and by use of 10-fold cross-validation the assessment results are validated.Calculation results of New England 39-bus network and IEEE 145-bus system show that the assessment of transient voltage stability is more accurate by applying the feature attribute combinations obtained by the proposed method to transient voltage stability assessment." @default.
- W2365647939 created "2016-06-24" @default.
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- W2365647939 date "2012-01-01" @default.
- W2365647939 modified "2023-09-26" @default.
- W2365647939 title "An Overlapping Probability Based Feature Selection Method for Evaluation of Transient Voltage Stability" @default.
- W2365647939 hasPublicationYear "2012" @default.
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