Lipeng Zhu
Orcid: 0000-0001-6051-9064Affiliations:
- Hunan University, College of Electrical and Information Engineering, Changsha, China
- University of Hong Kong, Department of Electrical and Electric Engineering, Hong Kong
- Tsinghua University, Beijing, China (PhD 2018)
According to our database1,
Lipeng Zhu
authored at least 27 papers
between 2017 and 2025.
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Bibliography
2025
Two-Stage Hybrid Optimization of Aggregated Distributed Generalized Energy Storages for Complete Uncertainty Elimination.
IEEE Trans. Smart Grid, May, 2025
Resilience-Oriented Coordinated Topology Reconfiguration of Electricity and Drainage Networks With Distributed Mobile Emergency Resources.
IEEE Trans. Smart Grid, January, 2025
Spatial-Temporal Resilience Assessment of Distribution Systems Under Typhoon Coupled With Rainstorm Events.
IEEE Trans. Ind. Informatics, January, 2025
Three-Stage Composite Outlier Identification of Wind Power Data: Integrating Physical Rules With Regression Learning and Mathematical Morphology.
IEEE Trans. Instrum. Meas., 2025
2024
Robust Representation Learning for Power System Short-Term Voltage Stability Assessment Under Diverse Data Loss Conditions.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Structure-Aware Recurrent Learning Machine for Short-Term Voltage Trajectory Sensitivity Prediction.
IEEE Internet Things J., May, 2024
Deep Active Learning-Enabled Cost-Effective Electricity Theft Detection in Smart Grids.
IEEE Trans. Ind. Informatics, January, 2024
Make Safe Decisions in Power System: Safe Reinforcement Learning Based Pre-decision Making for Voltage Stability Emergency Control.
CoRR, 2024
2023
IEEE Trans. Smart Grid, November, 2023
Hierarchical Time-Series Assessment and Control for Transient Stability Enhancement in Islanded Microgrids.
IEEE Trans. Smart Grid, September, 2023
P2P Multigrade Energy Trading for Heterogeneous Distributed Energy Resources and Flexible Demand.
IEEE Trans. Smart Grid, March, 2023
Graph Convolutional Network-Based Interpretable Machine Learning Scheme in Smart Grids.
IEEE Trans Autom. Sci. Eng., 2023
Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance.
CoRR, 2023
2022
Data/Model Jointly Driven High-Quality Case Generation for Power System Dynamic Stability Assessment.
IEEE Trans. Ind. Informatics, 2022
Sequential Data-Driven Automatic Calibration of Wind Turbine Fault Information in Smart Grids.
IEEE Internet Things J., 2022
Auto-Starting Semisupervised-Learning-Based Identification of Synchrophasor Data Anomalies.
IEEE Internet Things J., 2022
Annu. Rev. Control. Robotics Auton. Syst., 2022
2021
IEEE Trans. Smart Grid, 2021
Intelligent Short-Term Voltage Stability Assessment via Spatial Attention Rectified RNN Learning.
IEEE Trans. Ind. Informatics, 2021
Learning Spatiotemporal Correlations for Missing Noisy PMU Data Correction in Smart Grid.
IEEE Internet Things J., 2021
Cost-Effective Bad Synchrophasor Data Detection Based on Unsupervised Time-Series Data Analytic.
IEEE Internet Things J., 2021
Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network.
CoRR, 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
Cost-Effective Bad Synchrophasor Data Detection Based on Unsupervised Time Series Data Analytics.
CoRR, 2020
How Price-Based Frequency Regulation Impacts Stability in Power Grids: A Complex Network Perspective.
Complex., 2020
2017
Imbalance Learning Machine-Based Power System Short-Term Voltage Stability Assessment.
IEEE Trans. Ind. Informatics, 2017