82 citations · 620 across the 68 of their papers we have counts for
5 papers · 1 filter
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…
A Novel Data-Driven Situation Awareness Approach for Future Grids--Using Large Random Matrices for Big Data Modeling
Xing He, Lei Chu, Robert C. Qiu +2
Data-driven approaches, when tasked with situation awareness, are suitable for complex grids with massive datasets. It is a challenge, however, to efficiently turn these massive da…
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…
MIMO UWB Radar System with Compressive Sensing
Xia Li, Zhen Hu, Robert C. Qiu
A multiple input multiple output ultra-wideband cognitive radar based on compressive sensing is presented in this letter. For traditional UWB radar, high sampling rate analog to di…
Positive Definite Estimation of Large Covariance Matrix Using Generalized Nonconvex Penalties
Fei Wen, Yuan Yang, Peilin Liu +1
This work addresses the issue of large covariance matrix estimation in high-dimensional statistical analysis. Recently, improved iterative algorithms with positive-definite guarant…