Name
Title | ||
|---|---|---|
Robust Recovery of PMU Signals with Outlier Characterization and Stochastic Subspace Selection |
Abstract | ||
|---|---|---|
This paper proposes an improvement on the standalone robust principal component analysis (R-PCA)-based approach for recovering clean signals from corrupted synchrophasor measurements. The contributions of this paper are twofold. First, a kernel principal component analysis (K-PCA)-based metric is proposed for detecting and differentiating event-induced outliers from spurious outliers in data, whic... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TSG.2019.2961561 | IEEE Transactions on Smart Grid |
Keywords | DocType | Volume |
Microsoft Windows,Phasor measurement units,Libraries,Principal component analysis,Kernel,Transient analysis | Journal | 11 |
Issue | ISSN | Citations |
4 | 1949-3053 | 2 |
PageRank | References | Authors |
0.38 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaustav Chatterjee | 1 | 2 | 0.38 |
| Kaveri Mahapatra | 2 | 3 | 1.42 |
| Nilanjan Ray Chaudhuri | 3 | 15 | 5.52 |