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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 2019 · eess.SPShow all

5 papers · 2 filters

eess.SP2019★ 24 cited

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…

eess.SP2019★ 1 cited

Early Anomaly Detection in Power Systems Based on Random Matrix Theory

Xin Shi, Robert Qiu

It is important for detecting the anomaly in power systems before it expands and causes serious faults such as power failures or system blackout. With the deployments of phasor mea…

eess.SP2019★ 1 cited

Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties

Lei Chu, Fei Wen, Robert Caiming Qiu

Recently, multi-user multiple input multiple output (MU-MIMO) systems with low-resolution digital-to-analog converters (DACs) has received considerable attention, owing to the capa…

eess.SP2019★ 3 cited

LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs

Lei Chu, Ling Pei, Husheng Li +1

This paper develops a new deep neural network optimized equalization framework for massive multiple input multiple output orthogonal frequency division multiplexing (MIMOOFDM) syst…

eess.SP2019

Improving Power System State Estimation Based on Matrix-Level Cleaning

Haosen Yang, Robert C. Qiu, Lei Chu +3

Power system state estimation is heavily subjected to measurement error, which comes from the noise of measuring instruments, communication noise, and some unclear randomness. Trad…