activity
20152023
most citedSpatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks

63 citations · 256 across the 18 of their papers we have counts for

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Showing stat.APShow all

7 papers · 1 filter

stat.AP2018★ 2 cited

A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location

Zenan Ling, Robert C. Qiu, Xing He +1

Synchronized measurements of a large power grid enable an unprecedented opportunity to study the spatialtemporal correlations. Statistical analytics for those massive datasets star…

stat.AP2018★ 3 cited

Early Anomaly Detection and Location in Distribution Network: A Data-Driven Approach

Xin Shi, Robert Qiu, Xing He +3

The measurement data collected from the supervisory control and data acquisition (SCADA) system installed in distribution network can reflect the operational state of the network e…

stat.AP2017

A Data-driven Approach to Multi-event Analytics in Large-scale Power Systems Using Factor Model

Fan Yang, Xing He, Robert Caiming Qiu +1

Multi-event detection and recognition in real time is of challenge for a modern grid as its feature is usually non-identifiable. Based on factor model, this paper porposes a data-d…

stat.AP2017★ 58 cited

Invisible Units Detection and Estimation Based on Random Matrix Theory

Xing He, Lei Chu, Robert C. Qiu +3

Invisible units mainly refer to small-scale units that are not monitored by, and thus are not visible to utilities. Integration of these invisible units into power systems does sig…

stat.AP2017★ 1 cited

Spatio-Temporal Big Data Analysis for Smart Grids Based on Random Matrix Theory: A Comprehensive Study

Robert Qiu, Lei Chu, Xing He +2

A cornerstone of the smart grid is the advanced monitorability on its assets and operations. Increasingly pervasive installation of the phasor measurement units (PMUs) allows the s…

stat.AP2016

A Novel Approach for Big Data Analytics in Future Grids Based on Free Probability

Zenan Ling, Robert C. Qiu, Xing He +1

Based on the random matrix model, we can build statistical models using massive datasets across the power grid, and employ hypothesis testing for anomaly detection. First, the aim…

stat.AP2016★ 2 cited

Massive Streaming PMU Data Modeling and Analytics in Smart Grid State Evaluation Based on Multiple High-Dimensional Covariance Tests

Lei Chu, Robert Qiu, Xing He +2

The analogous deployment of phase measurement units (PMUs), the increase of data quantum and the deregulation of energy market, all call for the robust state evaluation in large sc…