LAUSR

Sparse State Recovery Versus Generalized Maximum-Likelihood Estimator of a Power System

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0 Published in 2018 at "IEEE Transactions on Power Systems"

DOI: 10.1109/tpwrs.2017.2715561

Abstract: This letter shows that the sparse state recovery optimization method is equivalent to the well-known Huber M-estimator, and then justifies its robustness to bad data. We derive the total influence functions of the Huber M-estimator… read more here.

Keywords: estimator; maximum likelihood; generalized maximum; sparse state ... See more keywords