82 citations · 272 across the 10 of their papers we have counts for
6 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…
A Random Matrix Theoretical Approach to Early Event Detection Using Experimental Data
Y. Cao, L. Cai, C. Qiu +4
In this paper, High-dimensional data analysis methods are proposed to deal with random matrix which is composed by the real data from power network before and after the fault. The…
3D Power-map for Smart Grids---An Integration of High-dimensional Analysis and Visualization
Xing He, Qian Ai, Robert C. qiu +4
Data with features of volume, velocity, variety, and veracity are challenging traditional tools to extract useful analysis for decision-making. By integrating high-dimensional anal…
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…