82 citations · 272 across the 10 of their papers we have counts for
11 papers
A Hybrid Framework for Topology Identification of Distribution Grid with Renewables Integration
Xing He, Robert Qiu, Qian Ai +1
Topology identification (TI) is a key task for state estimation (SE) in distribution grids, especially the one with high-penetration renewables. The uncertainties, initiated by the…
Preliminary Exploration on Digital Twin for Power Systems: Challenges, Framework, and Applications
Xing He, Qian Ai, Robert C. Qiu +1
Digital twin (DT) is one of the most promising enabling technologies for realizing smart grids. Characterized by seamless and active---data-driven, real-time, and closed-loop---int…
Data-driven Estimation of the Power Flow Jacobian Matrix in High Dimensional Space
Xing He, Lei Chu, Robert Qiu +2
The Jacobian matrix is the core part of power flow analysis, which is the basis for power system planning and operations. This paper estimates the Jacobian matrix in high dimension…
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…
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…
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…