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20102024
most citedA Correlation Analysis Method for Power Systems Based on Random Matrix Theory

82 citations · 620 across the 68 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

stat.AP2017

A Data-driven Approach to Multi-event Analytics in Large-scale Power Systems Using Factor Model

Fan Yang, Xing He, Robert Caiming Qiu +1

Multi-event detection and recognition in real time is of challenge for a modern grid as its feature is usually non-identifiable. Based on factor model, this paper porposes a data-d…

stat.AP2017★ 58 cited

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…

stat.AP2017★ 1 cited

Spatio-Temporal Big Data Analysis for Smart Grids Based on Random Matrix Theory: A Comprehensive Study

Robert Qiu, Lei Chu, Xing He +2

A cornerstone of the smart grid is the advanced monitorability on its assets and operations. Increasingly pervasive installation of the phasor measurement units (PMUs) allows the s…

cs.CV2017★ 38 cited

Individual Recognition in Schizophrenia using Deep Learning Methods with Random Forest and Voting Classifiers: Insights from Resting State EEG Streams

Lei Chu, Robert Qiu, Haichun Liu +3

Recently, there has been a growing interest in monitoring brain activity for individual recognition system. So far these works are mainly focussing on single channel data or fragme…

cs.IT2017★ 1 cited

Nonconvex Regularization Based Sparse Recovery and Demixing with Application to Color Image Inpainting

Fei Wen, Lasith Adhikari, Ling Pei +3

This work addresses the recovery and demixing problem of signals that are sparse in some general dictionary. Involved applications include source separation, image inpainting, supe…