Meng Yue - RankMe

40 papers Misc 1Journal 30Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Detection of Cyberattacks on Distribution System Volt-VAR Control via Adversarial and Uncertain Analysis. IEEE Internet Things J. Alaa Selim, Junbo Zhao, Fei Miao, Sung-Yeul Park, Shan Zuo, Georgios Fragkos, Meng Yue
2025	J	`jnl`	A Deep Reinforcement Learning Method for Multi-objective Transmission Switching. CoRR Ding Lin, Jianhui Wang, Tianqiao Zhao, Meng Yue
2025	J	`jnl`	A Large Language Model for Determining Partial Tripping of Distributed Energy Resources. IEEE Trans. Smart Grid Tianqiao Zhao, Amirthagunaraj Yogarathnam, Meng Yue
2025	J	`jnl`	An End-to-End Learning Framework for Real-Time Decomposition and Classification of Aggregate Measurements at Substations. IEEE Trans. Ind. Informatics Tianqiao Zhao, Feiqin Zhu, Meng Yue, Jianhui Wang, Song Wang, Hossein Hooshyar
2025	J	`jnl`	Back-to-Back DC Transmission System Embedded Scheduling With Integrated Hydrogen Injection Modeling. IEEE Trans. Smart Grid Anping Zhou, Jianhui Wang, Meng Yue
2025	J	`jnl`	Conformalized prediction of post-fault voltage trajectories using pre-trained and finetuned attention-driven neural operators. Neural Networks Amirhossein Mollaali, Gabriel Zufferey, Gonzalo Constante-Flores, Christian Moya, Can Li, Meng Yue, Guang Lin
2025	—	`conf`	Correlation Reconstruction-based Anomaly Detection in Transient Responses of Distributed Energy Resources. SmartGridComm Sunho Jang, Tianqiao Zhao, Amirthagunaraj Yogarathnam, Meng Yue, Fei Ding, Junbo Zhao
2025	J	`jnl`	From Natural Language to Solver-Ready Power System Optimization: An LLM-Assisted, Validation-in-the-Loop Framework. CoRR Yunkai Hu, Tianqiao Zhao, Meng Yue
2025	—	`conf`	Integrating Physics-Informed Neural Networks and Power Flow for Scalable Online Transient Analysis. SmartGridComm Zhangrong Gu, Yue Zhao, Meng Yue, Tianqiao Zhao, Jiaming Li
2025	J	`jnl`	Reduced-Order Decomposition and Coordination Approach for Markov-Based Stochastic Unit Commitment With Distributed Wind Farms. IEEE Access Niranjan Raghunathan, Zongjie Wang, Mikhail A. Bragin, Peter B. Luh, Bing Yan, Tianqiao Zhao, Meng Yue
2025	J	`jnl`	Reinforcement Learning Based Symbolic Regression for Load Modeling. CoRR Ding Lin, Han Guo, Jianhui Wang, Meng Yue, Tianqiao Zhao
2024	J	`jnl`	A Case Study on Modeling Adequacy of a Grid with Subsynchronous Oscillations Involving IBRs. CoRR Lilan Karunaratne, Nilanjan Ray Chaudhuri, Amirthagunaraj Yogarathnam, Meng Yue
2024	J	`jnl`	Bi-Level Adaptive Storage Expansion Strategy for Microgrids Using Deep Reinforcement Learning. IEEE Trans. Smart Grid Bin Huang, Tianqiao Zhao, Meng Yue, Jianhui Wang
2024	J	`jnl`	Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators. CoRR Amirhossein Mollaali, Gabriel Zufferey, Gonzalo Constante-Flores, Christian Moya, Can Li, Guang Lin, Meng Yue
2024	—	`conf`	Cooperative Multi-Agent Deep Reinforcement Learning for Adaptive Decentralized Emergency Voltage Control. ISGT Ying Zhang, Meng Yue
2024	J	`jnl`	Discovery and Characterization of Cross-Area and Intra-Area SSOs Sensitive to Delay in Droop Control of Grid-Forming Converters. CoRR Lilan Karunaratne, Nilanjan Ray Chaudhuri, Amirthagunaraj Yogarathnam, Meng Yue
2024	J	`jnl`	Mitigating Parameter Degeneracy using Joint Conditional Diffusion Model for WECC Composite Load Model in Power Systems. CoRR Feiqin Zhu, Dmitrii Torbunov, Yihui Ren, Zhongjing Jiang, Tianqiao Zhao, Amirthagunaraj Yogarathnam, Meng Yue
2024	J	`jnl`	Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control. IEEE Trans. Neural Networks Learn. Syst. Ying Zhang, Meng Yue, Jianhui Wang, Shinjae Yoo
2024	J	`jnl`	On Modeling Adequacy and Stability Analysis of IBR-related Subsynchronous Oscillations in Multimachine Systems. CoRR Lilan Karunaratne, Nilanjan Ray Chaudhuri, Amirthagunaraj Yogarathnam, Meng Yue
2024	J	`jnl`	PIDGeuN: Graph Neural Network-Enabled Transient Dynamics Prediction of Networked Microgrids Through Full-Field Measurement. IEEE Access Yin Yu, Xinyuan Jiang, Daning Huang, Yan Li, Meng Yue, Tianqiao Zhao
2023	J	`jnl`	Deep-Learning-Based Koopman Modeling for Online Control Synthesis of Nonlinear Power System Transient Dynamics. IEEE Trans. Ind. Informatics Tianqiao Zhao, Meng Yue, Jianhui Wang
2023	J	`jnl`	DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-Shot Transfer the Dynamic Response of Networked Systems. IEEE Syst. J. Yixuan Sun, Christian Moya, Guang Lin, Meng Yue
2023	J	`jnl`	DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid's post-fault trajectories. Neurocomputing Christian Moya, Shiqi Zhang, Guang Lin, Meng Yue
2023	—	`conf`	Integrating Learning and Physics based Computation for Fast Online Transient Analysis. ISGT Jiaming Li, Yue Zhao, Meng Yue
2023	—	`conf`	Modeling Adequacy of Droop-Controlled Grid-Forming Converters for Transient Studies: Singular Perturbation Analysis. ISGT Amirthagunaraj Yogarathnam, Lilan Karunaratne, Nilanjan Ray Chaudhuri, Meng Yue
2023	J	`jnl`	On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators. CoRR Christian Moya, Guang Lin, Tianqiao Zhao, Meng Yue
2022	—	`conf`	Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems. ISGT Ying Zhang, Yanbo Chen, Jianhui Wang, Meng Yue, Tianqiao Zhao
2022	J	`jnl`	DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot Transfer the Dynamic Response of Networked Systems. CoRR Yixuan Sun, Christian Moya, Guang Lin, Meng Yue
2022	J	`jnl`	DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories. CoRR Christian Moya, Shiqi Zhang, Meng Yue, Guang Lin
2022	Misc	`conf`	Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction. ICASSP Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin
2022	—	`conf`	Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling. AI4I Carson Hu, Guang Lin, Bao Wang, Meng Yue, Jack Xin
2022	J	`jnl`	glassoformer: a query-sparse transformer for post-fault power grid voltage prediction. CoRR Yunling Zheng, Carson Hu, Guang Lin, Meng Yue, Bao Wang, Jack Xin
2021	J	`jnl`	Adaptive Load Shedding for Grid Emergency Control via Deep Reinforcement Learning. CoRR Ying Zhang, Meng Yue, Jianhui Wang
2021	J	`jnl`	Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems. CoRR Ying Zhang, Yanbo Chen, Jianhui Wang, Meng Yue, Tianqiao Zhao
2020	J	`jnl`	Enabling Cyberattack-Resilient Load Forecasting through Adversarial Machine Learning. CoRR Zefan Tang, Jieying Jiao, Peng Zhang, Meng Yue, Chen Chen, Jun Yan
2020	—	`conf`	Machine-Learning-Based Online Transient Analysis via Iterative Computation of Generator Dynamics. SmartGridComm Jiaming Li, Meng Yue, Yue Zhao, Guang Lin
2019	J	`jnl`	Descriptive Analytics-Based Anomaly Detection for Cybersecure Load Forecasting. IEEE Trans. Smart Grid Meng Yue, Tao Hong, Jianhui Wang
2019	J	`jnl`	Machine Learning-Based Anomaly Detection for Load Forecasting Under Cyberattacks. IEEE Trans. Smart Grid Mingjian Cui, Jianhui Wang, Meng Yue
2018	J	`jnl`	A Bayesian Approach-Based Outage Prediction in Electric Utility Systems Using Radar Measurement Data. IEEE Trans. Smart Grid Meng Yue, Tami Toto, Michael P. Jensen, Scott E. Giangrande, Robert Lofaro
2016	—	`conf`	Spatial-temporal load forecasting using AMI data. SmartGridComm Jin Xu, Meng Yue, Dimitrios Katramatos, Shinjae Yoo