Junbo Zhao
Orcid: 0000-0002-8498-9666Affiliations:
- University of Connecticut, Storrs, CT, USA
According to our database1,
Junbo Zhao
authored at least 95 papers
between 2012 and 2024.
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Bibliography
2024
Large Language Model for Smart Inverter Cyber-Attack Detection via Textual Analysis of Volt/VAR Commands.
IEEE Trans. Smart Grid, November, 2024
Physics Embedded Graph Convolution Neural Network for Power Flow Calculation Considering Uncertain Injections and Topology.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
A Power-Grid-Mapping Edge Computing Structure for Digital Distributed Distribution Networks.
IEEE Trans. Smart Grid, July, 2024
Adaptive Deep Reinforcement Learning Algorithm for Distribution System Cyber Attack Defense With High Penetration of DERs.
IEEE Trans. Smart Grid, July, 2024
Primal-Dual Decomposed State Estimation for Multi-Energy Systems Leveraging Variational Bayesian Approximation.
IEEE Trans. Smart Grid, May, 2024
Forecasting-Aided Joint Topology/State Estimation for Distribution Systems via Bayesian Non-Parametric Modeling.
IEEE Trans. Smart Grid, January, 2024
Safety-Constrained Stagewise Optimization of Droop Control Parameters for Isolated Microgrids.
IEEE Trans. Smart Grid, January, 2024
Physics-Informed Graphical Representation-Enabled Deep Reinforcement Learning for Robust Distribution System Voltage Control.
IEEE Trans. Smart Grid, January, 2024
Guest Editorial: Introduction to the Special Section on Research on Power Technology, Economy and Policy Towards Net-Zero Emissions.
IEEE Trans. Netw. Sci. Eng., 2024
Challenges and Pathways of Low-Carbon Oriented Energy Transition and Power System Planning Strategy: A Review.
IEEE Trans. Netw. Sci. Eng., 2024
Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning Approach.
CoRR, 2024
IEEE Access, 2024
Deep Reinforcement Learning-Enabled Adaptive Forecasting-Aided State Estimation in Distribution Systems with Multi-Source Multi-Rate Data.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024
Grid-Forming Inverters for Enhancing Stability and Resilience in Distribution Networks Under Transients and Restoration.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024
Distributed Fiber Optic Sensing for Fault Localization Caused by Fallen Tree Using Physics-informed ResNet.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024
2023
Distribution Network Topology Identification Using Smart Meter Data and Considering the Same-Bus-Different-Feeder Condition.
IEEE Trans. Ind. Informatics, August, 2023
Multi-Task Reinforcement Learning for Distribution System Voltage Control With Topology Changes.
IEEE Trans. Smart Grid, May, 2023
Demand-Side Regulation Provision of Virtual Power Plants Consisting of Interconnected Microgrids Through Double-Stage Double-Layer Optimization.
IEEE Trans. Smart Grid, May, 2023
An Imbalance-Status-Enabled Autonomous Global Power-Sharing Scheme for Solid-State Transformer Interconnected Hybrid AC/DC Microgrids.
IEEE Trans. Smart Grid, May, 2023
Real-Time Topology Estimation for Active Distribution System Using Graph-Bank Tracking Bayesian Networks.
IEEE Trans. Ind. Informatics, April, 2023
Topology Change Aware Data-Driven Probabilistic Distribution State Estimation Based on Gaussian Process.
IEEE Trans. Smart Grid, March, 2023
A Multiagent Deep Reinforcement Learning-Enabled Dual-Branch Damping Controller for Multimode Oscillation.
IEEE Trans. Control. Syst. Technol., 2023
Cyber-Physical Testbed Integrating RTAC with RTDS for Game-Theoretic Topology Control Under Load Altering Attacks.
CoRR, 2023
Voltage-Dependent Electromechanical Wave Propagation Modeling for Dynamic Stability Analysis in Power Systems.
CoRR, 2023
Resilient Model-Free Asymmetric Bipartite Consensus for Nonlinear Multi-Agent Systems against DoS Attacks.
CoRR, 2023
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Distributed OPF for PET-Based AC/DC Distribution Networks With Convex Relaxation and Linear Approximation.
IEEE Trans. Smart Grid, 2022
Dual-Channel Convolutional Network-Based Fault Cause Identification for Active Distribution System Using Realistic Waveform Measurements.
IEEE Trans. Smart Grid, 2022
Adaptive Hierarchical Cyber Attack Detection and Localization in Active Distribution Systems.
IEEE Trans. Smart Grid, 2022
A Highly Discriminative Detector Against False Data Injection Attacks in AC State Estimation.
IEEE Trans. Smart Grid, 2022
Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems.
IEEE Trans. Smart Grid, 2022
Deep Belief Network Enabled Surrogate Modeling for Fast Preventive Control of Power System Transient Stability.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
Stability Assessment of Secondary Frequency Control System With Dynamic False Data Injection Attacks.
IEEE Trans. Ind. Informatics, 2022
Data-Driven Detection of Stealthy False Data Injection Attack Against Power System State Estimation.
IEEE Trans. Ind. Informatics, 2022
Robust Deep Gaussian Process-Based Probabilistic Electrical Load Forecasting Against Anomalous Events.
IEEE Trans. Ind. Informatics, 2022
Observers for Differential Algebraic Equation Models of Power Networks: Jointly Estimating Dynamic and Algebraic States.
IEEE Trans. Control. Netw. Syst., 2022
Convex Optimization of Cyberattacks Overflowing Multiple Lines in Cyber-Physical Power Systems.
IEEE Syst. J., 2022
Distributed Frequency Divider for Power System Bus Frequency Online Estimation Considering Virtual Inertia From DFIGs.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Interpretable Data-Driven Probabilistic Power System Load Margin Assessment with Uncertain Renewable Energy and Loads.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022
Robust Data-driven Sparse Estimation of Power Flow Sensitivities for Smart Grid Monitoring and Operation.
Proceedings of the IEEE PES Innovative Smart Grid Technologies - Asia, 2022
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022
2021
Prioritized Replay Dueling DDQN Based Grid-Edge Control of Community Energy Storage System.
IEEE Trans. Smart Grid, 2021
Data-Driven Multi-Agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control With High Penetration of PVs.
IEEE Trans. Smart Grid, 2021
A Novel Belief Function Based Framework for UOPF With Multiprobability-Characterized and Knowledge Deficient Power Sources.
IEEE Trans. Ind. Informatics, 2021
A Novel Hybrid Short-Term Load Forecasting Method of Smart Grid Using MLR and LSTM Neural Network.
IEEE Trans. Ind. Informatics, 2021
Data-Driven Resilient Automatic Generation Control Against False Data Injection Attacks.
IEEE Trans. Ind. Informatics, 2021
Robust Data-Driven Linear Power Flow Model with Probability Constrained Worst-Case Errors.
CoRR, 2021
A robust extended Kalman filter for power system dynamic state estimation using PMU measurements.
CoRR, 2021
Robust Adaptive Nonlinear Kalman Filter for Synchronous Machine Parameter Calibration.
Proceedings of the 54th Hawaii International Conference on System Sciences, 2021
On the Simultaneous Estimation of Dynamic and Algebraic States in Power Networks via State Observer.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021
2020
Distribution-Level Robust Energy Management of Power Systems Considering Bidirectional Interactions With Gas Systems.
IEEE Trans. Smart Grid, 2020
A Planning-Oriented Resilience Assessment Framework for Transmission Systems Under Typhoon Disasters.
IEEE Trans. Smart Grid, 2020
Robust Ensemble Kalman Filter for Medium-Voltage Distribution System State Estimation.
IEEE Trans. Instrum. Meas., 2020
Bias-Compensated Sparsity-Aware NLMM Algorithms for Robust Adaptive Echo Cancellation.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020
Robust Unscented Unbiased Minimum-Variance Estimator for Nonlinear System Dynamic State Estimation With Unknown Inputs.
IEEE Signal Process. Lett., 2020
Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities.
CoRR, 2020
Distributed Robust State Estimation for Hybrid AC/DC Distribution Systems using Multi-Source Data.
CoRR, 2020
Analytic Deep Learning-based Surrogate Model for Operational Planning with Dynamic TTC Constraints.
CoRR, 2020
Model-Free Voltage Regulation of Unbalanced Distribution Network Based on Surrogate Model and Deep Reinforcement Learning.
CoRR, 2020
Real-time LCC-HVDC Maximum Emergency Power Capacity Estimation Based on Local PMU Measurements.
CoRR, 2020
Distributed Voltage Regulation of Active Distribution System Based on Enhanced Multi-agent Deep Reinforcement Learning.
CoRR, 2020
Nonlinear Virtual Inertia Control of WTGs for Enhancing Primary Frequency Response and Suppressing Drive-Train Torsional Oscillations.
CoRR, 2020
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
2019
A Theoretical Framework of Robust H-Infinity Unscented Kalman Filter and Its Application to Power System Dynamic State Estimation.
IEEE Trans. Signal Process., 2019
A Decentralized H-Infinity Unscented Kalman Filter for Dynamic State Estimation Against Uncertainties.
IEEE Trans. Smart Grid, 2019
Robust Unscented Kalman Filter for Power System Dynamic State Estimation With Unknown Noise Statistics.
IEEE Trans. Smart Grid, 2019
IEEE Trans. Smart Grid, 2019
Detecting False Data Injection Attacks Against Power System State Estimation With Fast Go-Decomposition Approach.
IEEE Trans. Ind. Informatics, 2019
IEEE Trans. Ind. Informatics, 2019
Unscented Kalman Filter-Based Unbiased Minimum-Variance Estimation for Nonlinear Systems With Unknown Inputs.
IEEE Signal Process. Lett., 2019
CoRR, 2019
2018
Robust Forecasting Aided Power System State Estimation Considering State Correlations.
IEEE Trans. Smart Grid, 2018
IEEE Trans. Smart Grid, 2018
A Framework for Robust Hybrid State Estimation With Unknown Measurement Noise Statistics.
IEEE Trans. Ind. Informatics, 2018
A Robust Generalized-Maximum Likelihood Unscented Kalman Filter for Power System Dynamic State Estimation.
IEEE J. Sel. Top. Signal Process., 2018
2017
Short-Term State Forecasting-Aided Method for Detection of Smart Grid General False Data Injection Attacks.
IEEE Trans. Smart Grid, 2017
Enhanced Robustness of State Estimator to Bad Data Processing Through Multi-innovation Analysis.
IEEE Trans. Ind. Informatics, 2017
Robust Power System Dynamic State Estimator with Non-Gaussian Measurement Noise: Part I-Theory.
CoRR, 2017
Robust Power System Dynamic State Estimator with Non-Gaussian Measurement Noise: Part II-Implementation and Results.
CoRR, 2017
2016
Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation.
IEEE Trans. Smart Grid, 2016
IEEE Trans. Smart Grid, 2016
Design and implementation of membrane controllers for trajectory tracking of nonholonomic wheeled mobile robots.
Integr. Comput. Aided Eng., 2016
2015
Correlating mobility with social encounters: distributed localization in sparse mobile networks.
Wirel. Networks, 2015
A Modified Membrane-Inspired Algorithm Based on Particle Swarm Optimization for Mobile Robot Path Planning.
Int. J. Comput. Commun. Control, 2015
2012
Correlating mobility with social encounters: Distributed localization in sparse mobile networks.
Proceedings of the 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, 2012