Chao Lu

Orcid: 0000-0002-2791-8714

Affiliations:
  • Tsinghua University, Department of Electrical Engineering, Beijing, China


According to our database1, Chao Lu authored at least 27 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Bias Analysis of PMU-Based State Estimation and Its Linear Bayesian Improvement.
IEEE Trans. Ind. Informatics, February, 2024

Dynamic Control and Time-Delayed Channel Scheduling Co-Design for Voltage Control in Active Distribution Networks.
IEEE Trans. Smart Grid, 2024

2023
Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Graph Convolutional Network-Based Interpretable Machine Learning Scheme in Smart Grids.
IEEE Trans Autom. Sci. Eng., 2023

2022
Online Realization of an Ambient Signal-Based Load Modeling Algorithm and Its Application in Field Measurement Data.
IEEE Trans. Ind. Electron., 2022

Synchrophasor Data Analytics: Transmission Line Parameters Online Estimation for Energy Management.
IEEE Trans. Engineering Management, 2022

Manage Distributed Energy Storage Charging and Discharging Strategy: Models and Algorithms.
IEEE Trans. Engineering Management, 2022

Auto-Starting Semisupervised-Learning-Based Identification of Synchrophasor Data Anomalies.
IEEE Internet Things J., 2022

Fast Quasi-Optimal Power Flow of Flexible DC Traction Power Systems.
CoRR, 2022

2021
Intelligent Short-Term Voltage Stability Assessment via Spatial Attention Rectified RNN Learning.
IEEE Trans. Ind. Informatics, 2021

Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network.
CoRR, 2021

Generator Available Inertia Estimation Based on Various Disturbance Measurements of PMU.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

2020
Time Series Data-Driven Batch Assessment of Power System Short-Term Voltage Security.
IEEE Trans. Ind. Informatics, 2020

Spatial-Temporal Feature Learning in Smart Grids: A Case Study on Short-Term Voltage Stability Assessment.
IEEE Trans. Ind. Informatics, 2020

HVdc Reactor Reduction Method Based on Virtual Reactor Fault Current Limiting Control of MMC.
IEEE Trans. Ind. Electron., 2020

Ambient Signals based Load Modeling with Combined Gradient-based Optimization and Regression Method.
CoRR, 2020

How Price-Based Frequency Regulation Impacts Stability in Power Grids: A Complex Network Perspective.
Complex., 2020

2018
Deep Reinforcement Leaming for Short-term Voltage Control by Dynamic Load Shedding in China Southem Power Grid.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Imbalance Learning Machine-Based Power System Short-Term Voltage Stability Assessment.
IEEE Trans. Ind. Informatics, 2017

Optimal placement and capacity allocation of distributed energy storage devices in distribution networks.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
Stability Analysis and Controller Design of a Wide-Area Time-Delay System Based on the Expectation Model Method.
IEEE Trans. Smart Grid, 2016

Energy storage system control strategy in frequency regulation.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

2015
An extended prototypical smart meter architecture for demand side management.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

Capacity optimization of battery energy storage systems for frequency regulation.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2008
Direct Heuristic Dynamic Programming for Damping Oscillations in a Large Power System.
IEEE Trans. Syst. Man Cybern. Part B, 2008

2007
Convergence of Direct Heuristic Dynamic Programming in Power System Stability Control.
Proceedings of the International Joint Conference on Neural Networks, 2007

2004
SVC supplementary damping control using direct neural dynamic programming.
Proceedings of the Intelligent Control, 2004


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