4 citations · 12 across the 11 of their papers we have counts for
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cs.LG2021★ 2 cited
Robust Event Classification Using Imperfect Real-world PMU Data
Yunchuan Liu, Lei Yang, Amir Ghasemkhani +4
This paper studies robust event classification using imperfect real-world phasor measurement unit (PMU) data. By analyzing the real-world PMU data, we find it is challenging to dir…
cs.LG2019
Attack on Grid Event Cause Analysis: An Adversarial Machine Learning Approach
Iman Niazazari, Hanif Livani
With the ever-increasing reliance on data for data-driven applications in power grids, such as event cause analysis, the authenticity of data streams has become crucially important…
cs.LG2017
Disruptive Event Classification using PMU Data in Distribution Networks
Iman Niazazari, Hanif Livani
Proliferation of advanced metering devices with high sampling rates in distribution grids, e.g., micro-phasor measurement units (μPMU), provides unprecedented potentials for wide-a…