4) to O(n²)) in computational complexity is achieved as compared to the state-of-the-art techniques, which use Multi-Class SVM for fault classification. Moreover, unlike state-of-the-art techniques, both of these techniques are unsupervised and online and can be implemented on the existing monitoring infrastructure for online monitoring, fault detection and classification in power sytems.">

Support Vector Machine based fault detection & classification in smart grids (original) (raw)

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