activity
20152024
most citedA Correlation Analysis Method for Power Systems Based on Random Matrix Theory

82 citations · 342 across the 19 of their papers we have counts for

collaborators

20 papers

cs.NI2024★ 2 cited

Redefinition of Digital Twin and its Situation Awareness Framework Designing Towards Fourth Paradigm for Energy Internet of Things

Xing He, Yuezhong Tang, Shuyan Ma +3

Traditional knowledge-based situation awareness (SA) modes struggle to adapt to the escalating complexity of today's Energy Internet of Things (EIoT), necessitating a pivotal parad…

stat.AP2023★ 4 cited

Exploration of Superposition Theorem in Spectrum Space for Composite Event Analysis in an ADN

Xing He, Qian Ai, Yuezhong Tang +2

This study presents a formulation of the Superposition Theorem (ST) in the spectrum space, tailored for the analysis of composite events in an active distribution network (ADN). Ou…

stat.AP2020★ 35 cited

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…

eess.SY2019★ 2 cited

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…

eess.SP2018★ 63 cited

Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks

Xin Shi, Robert Qiu, Zenan Ling +3

The online monitoring data in distribution networks contain rich information on the running states of the networks. By leveraging the data, this paper proposes a spatio-temporal co…

eess.SP2018

Unsupervised Feature Learning for Online Voltage Stability Evaluation and Monitoring Based on Variational Autoencoder

Haosen Yang, Robert C. Qiu, Xin Shi +1

With the increase of uncertain elements in power systems and extensive deployment of online monitoring devices, it is necessary to search a more real-time and robust voltage stabil…