Meng Yue
Orcid: 0000-0002-0743-3429Affiliations:
- Brookhaven National Laboratory, Upton, NY, USA
According to our database1,
Meng Yue authored at least 37 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Adaptive Privacy Preserving Federated Learning for Virtual Power Plant Cyberattack Detection.
IEEE Trans. Smart Grid, May, 2026
Robust Detection of Cyberattacks on Distribution System Volt-VAR Control via Adversarial and Uncertain Analysis.
IEEE Internet Things J., 2026
2025
An End-to-End Learning Framework for Real-Time Decomposition and Classification of Aggregate Measurements at Substations.
IEEE Trans. Ind. Informatics, October, 2025
From Natural Language to Solver-Ready Power System Optimization: An LLM-Assisted, Validation-in-the-Loop Framework.
CoRR, August, 2025
CoRR, July, 2025
CoRR, March, 2025
Back-to-Back DC Transmission System Embedded Scheduling With Integrated Hydrogen Injection Modeling.
IEEE Trans. Smart Grid, January, 2025
A Large Language Model for Determining Partial Tripping of Distributed Energy Resources.
IEEE Trans. Smart Grid, January, 2025
Conformalized prediction of post-fault voltage trajectories using pre-trained and finetuned attention-driven neural operators.
Neural Networks, 2025
Reduced-Order Decomposition and Coordination Approach for Markov-Based Stochastic Unit Commitment With Distributed Wind Farms.
IEEE Access, 2025
Correlation Reconstruction-based Anomaly Detection in Transient Responses of Distributed Energy Resources.
Proceedings of the IEEE International Conference on Communications, 2025
Integrating Physics-Informed Neural Networks and Power Flow for Scalable Online Transient Analysis.
Proceedings of the IEEE International Conference on Communications, 2025
A Sample-Efficient Quantum-Classical Reinforcement Learning Framework for Transmission Switching.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025
2024
Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Bi-Level Adaptive Storage Expansion Strategy for Microgrids Using Deep Reinforcement Learning.
IEEE Trans. Smart Grid, 2024
Mitigating Parameter Degeneracy using Joint Conditional Diffusion Model for WECC Composite Load Model in Power Systems.
CoRR, 2024
Discovery and Characterization of Cross-Area and Intra-Area SSOs Sensitive to Delay in Droop Control of Grid-Forming Converters.
CoRR, 2024
A Case Study on Modeling Adequacy of a Grid with Subsynchronous Oscillations Involving IBRs.
CoRR, 2024
On Modeling Adequacy and Stability Analysis of IBR-related Subsynchronous Oscillations in Multimachine Systems.
CoRR, 2024
PIDGeuN: Graph Neural Network-Enabled Transient Dynamics Prediction of Networked Microgrids Through Full-Field Measurement.
IEEE Access, 2024
Cooperative Multi-Agent Deep Reinforcement Learning for Adaptive Decentralized Emergency Voltage Control.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024
2023
Deep-Learning-Based Koopman Modeling for Online Control Synthesis of Nonlinear Power System Transient Dynamics.
IEEE Trans. Ind. Informatics, October, 2023
DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-Shot Transfer the Dynamic Response of Networked Systems.
IEEE Syst. J., September, 2023
DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid's post-fault trajectories.
Neurocomputing, 2023
On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators.
CoRR, 2023
Modeling Adequacy of Droop-Controlled Grid-Forming Converters for Transient Studies: Singular Perturbation Analysis.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
Integrating Learning and Physics based Computation for Fast Online Transient Analysis.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023
2022
Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems.
Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022
Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 5th International Conference on Artificial Intelligence for Industries, 2022
2021
CoRR, 2021
2020
Enabling Cyberattack-Resilient Load Forecasting through Adversarial Machine Learning.
CoRR, 2020
Machine-Learning-Based Online Transient Analysis via Iterative Computation of Generator Dynamics.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
2019
IEEE Trans. Smart Grid, 2019
IEEE Trans. Smart Grid, 2019
2018
A Bayesian Approach-Based Outage Prediction in Electric Utility Systems Using Radar Measurement Data.
IEEE Trans. Smart Grid, 2018
2016
Proceedings of the 2016 IEEE International Conference on Smart Grid Communications, 2016