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ORCIDYue Meng 0001
Person information
- affiliation: Brookhaven National Laboratory, Upton, NY, USA
Other persons with the same name
- Yue Meng — disambiguation page
- Meng Yue
- Meng Yue 0002
![[0000-0002-1473-3729]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1473-3729")
— Civil Aviation University of China, College of Safety Science and Engineering, Tianjin, China (and 1 more)
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2020 – today
- 2026
[j15]Alaa Selim, Junbo Zhao, Fei Miao, Sung-Yeul Park, Shan Zuo, Georgios Fragkos, Yue Meng:
Robust Detection of Cyberattacks on Distribution System Volt-VAR Control via Adversarial and Uncertain Analysis. IEEE Internet Things J. 13(4): 6088-6104 (2026)- 2025
- [j14]Niranjan Raghunathan, Zongjie Wang, Mikhail A. Bragin, Peter B. Luh, Bing Yan, Tianqiao Zhao, Meng Yue:
Reduced-Order Decomposition and Coordination Approach for Markov-Based Stochastic Unit Commitment With Distributed Wind Farms. IEEE Access 13: 65403-65419 (2025) - [j13]Amirhossein Mollaali, Gabriel Zufferey, Gonzalo Constante-Flores, Christian Moya, Can Li, Meng Yue, Guang Lin:
Conformalized prediction of post-fault voltage trajectories using pre-trained and finetuned attention-driven neural operators. Neural Networks 192: 107809 (2025) - [j12]Tianqiao Zhao, Feiqin Zhu, Meng Yue, Jianhui Wang, Song Wang, Hossein Hooshyar:
An End-to-End Learning Framework for Real-Time Decomposition and Classification of Aggregate Measurements at Substations. IEEE Trans. Ind. Informatics 21(10): 8133-8143 (2025) - [j11]Tianqiao Zhao, Amirthagunaraj Yogarathnam, Meng Yue:
A Large Language Model for Determining Partial Tripping of Distributed Energy Resources. IEEE Trans. Smart Grid 16(1): 437-440 (2025) - [j10]Anping Zhou, Jianhui Wang, Meng Yue:
Back-to-Back DC Transmission System Embedded Scheduling With Integrated Hydrogen Injection Modeling. IEEE Trans. Smart Grid 16(1): 773-785 (2025) - [c10]Zhangrong Gu, Yue Zhao, Meng Yue, Tianqiao Zhao, Jiaming Li:
Integrating Physics-Informed Neural Networks and Power Flow for Scalable Online Transient Analysis. SmartGridComm 2025: 1-6 - [c9]Sunho Jang, Tianqiao Zhao, Amirthagunaraj Yogarathnam, Meng Yue, Fei Ding, Junbo Zhao:
Correlation Reconstruction-based Anomaly Detection in Transient Responses of Distributed Energy Resources. SmartGridComm 2025: 1-7 - [i15]Ding Lin, Han Guo, Jianhui Wang, Meng Yue, Tianqiao Zhao:
Reinforcement Learning Based Symbolic Regression for Load Modeling. CoRR abs/2503.06879 (2025) - [i14]Ding Lin, Jianhui Wang, Tianqiao Zhao, Meng Yue:
A Deep Reinforcement Learning Method for Multi-objective Transmission Switching. CoRR abs/2507.11726 (2025) - [i13]Yunkai Hu, Tianqiao Zhao, Meng Yue:
From Natural Language to Solver-Ready Power System Optimization: An LLM-Assisted, Validation-in-the-Loop Framework. CoRR abs/2508.08147 (2025) - 2024
- [j9]Yin Yu, Xinyuan Jiang, Daning Huang, Yan Li, Meng Yue, Tianqiao Zhao:
PIDGeuN: Graph Neural Network-Enabled Transient Dynamics Prediction of Networked Microgrids Through Full-Field Measurement. IEEE Access 12: 49464-49475 (2024) - [j8]Ying Zhang, Meng Yue, Jianhui Wang, Shinjae Yoo:
Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3340-3350 (2024) - [j7]Bin Huang, Tianqiao Zhao, Meng Yue, Jianhui Wang:
Bi-Level Adaptive Storage Expansion Strategy for Microgrids Using Deep Reinforcement Learning. IEEE Trans. Smart Grid 15(2): 1362-1375 (2024) - [c8]Ying Zhang, Meng Yue:
Cooperative Multi-Agent Deep Reinforcement Learning for Adaptive Decentralized Emergency Voltage Control. ISGT 2024: 1-5 - [i12]Lilan Karunaratne, Nilanjan Ray Chaudhuri, Amirthagunaraj Yogarathnam, Meng Yue:
On Modeling Adequacy and Stability Analysis of IBR-related Subsynchronous Oscillations in Multimachine Systems. CoRR abs/2403.07835 (2024) - [i11]Lilan Karunaratne, Nilanjan Ray Chaudhuri, Amirthagunaraj Yogarathnam, Meng Yue:
A Case Study on Modeling Adequacy of a Grid with Subsynchronous Oscillations Involving IBRs. CoRR abs/2407.09526 (2024) - [i10]Lilan Karunaratne, Nilanjan Ray Chaudhuri, Amirthagunaraj Yogarathnam, Meng Yue:
Discovery and Characterization of Cross-Area and Intra-Area SSOs Sensitive to Delay in Droop Control of Grid-Forming Converters. CoRR abs/2409.09912 (2024) - [i9]Amirhossein Mollaali, Gabriel Zufferey, Gonzalo Constante-Flores, Christian Moya, Can Li, Guang Lin, Meng Yue:
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators. CoRR abs/2410.24162 (2024) - [i8]Feiqin Zhu, Dmitrii Torbunov, Yihui Ren, Zhongjing Jiang, Tianqiao Zhao, Amirthagunaraj Yogarathnam, Meng Yue:
Mitigating Parameter Degeneracy using Joint Conditional Diffusion Model for WECC Composite Load Model in Power Systems. CoRR abs/2411.10431 (2024) - 2023
- [j6]Christian Moya, Shiqi Zhang, Guang Lin, Meng Yue:
DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid's post-fault trajectories. Neurocomputing 535: 166-182 (2023) - [j5]Yixuan Sun, Christian Moya, Guang Lin, Meng Yue:
DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-Shot Transfer the Dynamic Response of Networked Systems. IEEE Syst. J. 17(3): 4360-4370 (2023) - [j4]Tianqiao Zhao, Meng Yue, Jianhui Wang:
Deep-Learning-Based Koopman Modeling for Online Control Synthesis of Nonlinear Power System Transient Dynamics. IEEE Trans. Ind. Informatics 19(10): 10444-10453 (2023) - [c7]Jiaming Li, Yue Zhao, Meng Yue:
Integrating Learning and Physics based Computation for Fast Online Transient Analysis. ISGT 2023: 1-5 - [c6]Amirthagunaraj Yogarathnam, Lilan Karunaratne, Nilanjan Ray Chaudhuri, Meng Yue:
Modeling Adequacy of Droop-Controlled Grid-Forming Converters for Transient Studies: Singular Perturbation Analysis. ISGT 2023: 1-5 - [i7]Christian Moya, Guang Lin, Tianqiao Zhao, Meng Yue:
On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators. CoRR abs/2301.12538 (2023) - 2022
- [c5]Carson Hu, Guang Lin, Bao Wang, Meng Yue, Jack Xin:
Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling. AI4I 2022: 35-37 - [c4]Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin:
Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction. ICASSP 2022: 3968-3972 - [c3]Ying Zhang, Yanbo Chen, Jianhui Wang, Yue Meng, Tianqiao Zhao:
Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems. ISGT 2022: 1-5 - [i6]Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin:
glassoformer: a query-sparse transformer for post-fault power grid voltage prediction. CoRR abs/2201.09145 (2022) - [i5]Christian Moya, Shiqi Zhang, Meng Yue, Guang Lin:
DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories. CoRR abs/2202.07176 (2022) - [i4]Yixuan Sun, Christian Moya, Guang Lin, Meng Yue:
DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot Transfer the Dynamic Response of Networked Systems. CoRR abs/2209.10622 (2022) - 2021
- [i3]Ying Zhang, Meng Yue, Jianhui Wang:
Adaptive Load Shedding for Grid Emergency Control via Deep Reinforcement Learning. CoRR abs/2102.12908 (2021) - [i2]Ying Zhang, Yanbo Chen, Jianhui Wang, Yue Meng, Tianqiao Zhao:
Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems. CoRR abs/2111.04555 (2021) - 2020
- [c2]Jiaming Li, Meng Yue, Yue Zhao, Guang Lin:
Machine-Learning-Based Online Transient Analysis via Iterative Computation of Generator Dynamics. SmartGridComm 2020: 1-6 - [i1]Zefan Tang, Jieying Jiao, Peng Zhang, Meng Yue, Chen Chen, Jun Yan:
Enabling Cyberattack-Resilient Load Forecasting through Adversarial Machine Learning. CoRR abs/2001.02289 (2020)
2010 – 2019
- 2019
- [j3]Mingjian Cui, Jianhui Wang, Meng Yue:
Machine Learning-Based Anomaly Detection for Load Forecasting Under Cyberattacks. IEEE Trans. Smart Grid 10(5): 5724-5734 (2019) - [j2]Meng Yue, Tao Hong, Jianhui Wang:
Descriptive Analytics-Based Anomaly Detection for Cybersecure Load Forecasting. IEEE Trans. Smart Grid 10(6): 5964-5974 (2019) - 2018
- [j1]Meng Yue, Tami Toto, Michael P. Jensen, Scott E. Giangrande, Robert Lofaro:
A Bayesian Approach-Based Outage Prediction in Electric Utility Systems Using Radar Measurement Data. IEEE Trans. Smart Grid 9(6): 6149-6159 (2018) - 2016
- [c1]Jin Xu, Meng Yue, Dimitrios Katramatos, Shinjae Yoo:
Spatial-temporal load forecasting using AMI data. SmartGridComm 2016: 612-618
Coauthor Index
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