82 citations · 620 across the 68 of their papers we have counts for
5 papers · 1 filter
Designing for Situation Awareness of Future Power Grids: An Indicator System Based on Linear Eigenvalue Statistics of Large Random Matrices
Xing He, Robert C. Qiu, Qian Ai +3
Future power grids are fundamentally different from current ones, both in size and in complexity; this trend imposes challenges for situation awareness (SA) based on classical indi…
A Correlation Analysis Method for Power Systems Based on Random Matrix Theory
Xinyi Xu, Xing He, Qian Ai +1
The operating status of power systems is influenced by growing varieties of factors, resulting from the developing sizes and complexity of power systems; in this situation, the mod…
Massive MIMO as a Big Data System: Random Matrix Models and Testbed
Changchun Zhang, Robert Caiming Qiu
The paper has two parts. The first one deals with how to use large random matrices as building blocks to model the massive data arising from the massive (or large-scale) MIMO syste…
A Random Matrix Theoretical Approach to Early Event Detection in Smart Grid
Xing He, Robert Caiming Qiu, Qian Ai +3
Power systems are developing very fast nowadays, both in size and in complexity; this situation is a challenge for Early Event Detection (EED). This paper proposes a data- driven u…
A Big Data Architecture Design for Smart Grids Based on Random Matrix Theory
X. He, Q. Ai, C. Qiu +3
Model-based analysis tools, built on assumptions and simplifications, are difficult to handle smart grids with data characterized by 4Vs data. This paper, using random matrix theor…