2016
Online least-squares one-class support vector machine for outlier detection in power grid data
ICASSP 2016accepted
This paper addresses the problem of outlier detection in the power grid. A sparse online least squares one-class support vector machine classification algorithm is presented to detect outliers in a data stream. An approximate linear dependence criteria is used to obtain a sparse solution by sequenti…