Junbo Zhao
Assistant Professor/Electrical and Computer Engr
Storrs Mansfield
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Scholarly Contributions
108 Scholarly Contributions
Multi-fidelity Learning for Distribution System State Visibility
2022
Research Type: Poster/Presentation
Explicit Data-Driven Small-Signal Stability Constrained Optimal Power Flow
2021
Research Type: Journal Article
A Novel Uncertainty Quantification Framework for PF and OPF considering Nonlinear Correlated Power Injections with Limited Information
2021
Research Type: Journal Article
WECC Composite Load Model Parameter Identification Using Deep Learning Approach
Research Type: Conference Proceedings
Interpretable Data-Driven Probabilistic Power System Load Margin Assessment with Uncertain Renewable Energy and Loads
Research Type: Conference Proceedings
An improved phasor estimation method based on matrix pencil and weighted least square
Research Type: Conference Proceedings
Deeponet based uncertainty quantification for power system dynamics with stochastic loads
Research Type: Conference Proceedings
A Graph Convolutional Network for Active Distribution System Anomaly Detection Considering Measurement Spatial-temporal Correlations
Research Type: Conference Proceedings
Multi-Fidelity Learning for Distribution System Voltage Probabilistic Analysis with High Penetration of PVs
Research Type: Conference Proceedings
A Temperature-Informed Data-Driven Approach for Behind-the-Meter Solar Disaggregation
Research Type: Conference Proceedings
Measurements-Feedback Linear Power Flow Model Considering Distribution System Parameter Errors
Research Type: Conference Proceedings
Analytic Input Convex Neural Networks-based Model Predictive Control for Power System Transient Stability Enhancement
Research Type: Conference Proceedings
Robust Learning-Assisted Data-Driven Congestion Management via Sparse Sensitivity Estimation
Research Type: Conference Proceedings
Robust data-driven sparse estimation of power flow sensitivities for smart grid monitoring and operation
Research Type: Conference Proceedings
Grid-Forming Inverters for Enhancing Stability and Resilience in Distribution Networks Under Transients and Restoration
Research Type: Conference Proceedings
Deep Reinforcement Learning for Distribution System Cyber Attack Defense with DERs
Research Type: Conference Proceedings
Multi-Agent Deep Reinforcement Learning for Realistic Distribution System Voltage Control using PV Inverters
Research Type: Conference Proceedings
Explainable Bayesian Neural Network for Probabilistic Transient Stability Analysis Considering Wind Energy
Research Type: Conference Proceedings