Spatial-temporal load forecasting using AMI data. - Jin Xu; Meng Yue 001; Dimitrios Katramatos; Shinjae Yoo (SmartGridComm, 2016)

A Bayesian Approach-Based Outage Prediction in Electric Utility Systems Using Radar Measurement Data. - Meng Yue 001; Tami Toto; Michael P. Jensen; Scott E. Giangrande; Robert Lofaro (IEEE Trans. Smart Grid, 2018)

Machine Learning-Based Anomaly Detection for Load Forecasting Under Cyberattacks. - Mingjian Cui; Jianhui Wang 001; Meng Yue 001 (IEEE Trans. Smart Grid, 2019)

Descriptive Analytics-Based Anomaly Detection for Cybersecure Load Forecasting. - Meng Yue 001; Tao Hong 003; Jianhui Wang 001 (IEEE Trans. Smart Grid, 2019)

Machine-Learning-Based Online Transient Analysis via Iterative Computation of Generator Dynamics. - Jiaming Li; Meng Yue 001; Yue Zhao 007; Guang Lin 001 (SmartGridComm, 2020)

Enabling Cyberattack-Resilient Load Forecasting through Adversarial Machine Learning. - Zefan Tang; Jieying Jiao; Peng Zhang; Meng Yue 001; Chen Chen 007; Jun Yan (CoRR, 2020)

Adaptive Load Shedding for Grid Emergency Control via Deep Reinforcement Learning. - Ying Zhang 039; Meng Yue 001; Jianhui Wang 001 (CoRR, 2021)

Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling. - Carson Hu; Guang Lin 001; Bao Wang 001; Meng Yue 001; Jack Xin (AI4I, 2022)

Glassoformer: A Query-Sparse Transformer for Post-Fault Power Grid Voltage Prediction. - Yunling Zheng; Carson Hu; Guang Lin 001; Meng Yue 001; Bao Wang 001; Jack Xin (ICASSP, 2022)

Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems. - Ying Zhang 039; Yanbo Chen 004; Jianhui Wang 001; Meng Yue 001; Tianqiao Zhao (ISGT, 2022)

Integrating Learning and Physics based Computation for Fast Online Transient Analysis. - Jiaming Li; Yue Zhao 007; Meng Yue 001 (ISGT, 2023)

Modeling Adequacy of Droop-Controlled Grid-Forming Converters for Transient Studies: Singular Perturbation Analysis. - Amirthagunaraj Yogarathnam; Lilan Karunaratne; Nilanjan Ray Chaudhuri; Meng Yue 001 (ISGT, 2023)

On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators. - Christian Moya; Guang Lin 001; Tianqiao Zhao; Meng Yue 001 (CoRR, 2023)

DeepONet-grid-UQ: A trustworthy deep operator framework for predicting the power grid's post-fault trajectories. - Christian Moya; Shiqi Zhang 006; Guang Lin 001; Meng Yue 001 (Neurocomputing, 2023)

DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-Shot Transfer the Dynamic Response of Networked Systems. - Yixuan Sun; Christian Moya; Guang Lin 001; Meng Yue 001 (IEEE Syst. J., 2023)

Deep-Learning-Based Koopman Modeling for Online Control Synthesis of Nonlinear Power System Transient Dynamics. - Tianqiao Zhao; Meng Yue 001; Jianhui Wang 001 (IEEE Trans. Ind. Informatics, 2023)

Cooperative Multi-Agent Deep Reinforcement Learning for Adaptive Decentralized Emergency Voltage Control. - Ying Zhang 039; Meng Yue 001 (ISGT, 2024)

PIDGeuN: Graph Neural Network-Enabled Transient Dynamics Prediction of Networked Microgrids Through Full-Field Measurement. - Yin Yu; Xinyuan Jiang; Daning Huang; Yan Li 105; Meng Yue 001; Tianqiao Zhao (IEEE Access, 2024)

On Modeling Adequacy and Stability Analysis of IBR-related Subsynchronous Oscillations in Multimachine Systems. - Lilan Karunaratne; Nilanjan Ray Chaudhuri; Amirthagunaraj Yogarathnam; Meng Yue 001 (CoRR, 2024)

A Case Study on Modeling Adequacy of a Grid with Subsynchronous Oscillations Involving IBRs. - Lilan Karunaratne; Nilanjan Ray Chaudhuri; Amirthagunaraj Yogarathnam; Meng Yue 001 (CoRR, 2024)

Discovery and Characterization of Cross-Area and Intra-Area SSOs Sensitive to Delay in Droop Control of Grid-Forming Converters. - Lilan Karunaratne; Nilanjan Ray Chaudhuri; Amirthagunaraj Yogarathnam; Meng Yue 001 (CoRR, 2024)

Mitigating Parameter Degeneracy using Joint Conditional Diffusion Model for WECC Composite Load Model in Power Systems. - Feiqin Zhu; Dmitrii Torbunov; Yihui Ren 001; Zhongjing Jiang; Tianqiao Zhao; Amirthagunaraj Yogarathnam; Meng Yue 001 (CoRR, 2024)

Bi-Level Adaptive Storage Expansion Strategy for Microgrids Using Deep Reinforcement Learning. - Bin Huang 013; Tianqiao Zhao; Meng Yue 001; Jianhui Wang 001 (IEEE Trans. Smart Grid, 2024)

Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control. - Ying Zhang 039; Meng Yue 001; Jianhui Wang 001; Shinjae Yoo (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Sample-Efficient Quantum-Classical Reinforcement Learning Framework for Transmission Switching. - Ding Lin; Jianhui Wang 001; Huan-Hsin Tseng; Shinjae Yoo; Tianqiao Zhao; Meng Yue 001 (QCE, 2025)

Integrating Physics-Informed Neural Networks and Power Flow for Scalable Online Transient Analysis. - Zhangrong Gu; Yue Zhao 007; Meng Yue 001; Tianqiao Zhao; Jiaming Li (SmartGridComm, 2025)

Correlation Reconstruction-based Anomaly Detection in Transient Responses of Distributed Energy Resources. - Sunho Jang; Tianqiao Zhao; Amirthagunaraj Yogarathnam; Meng Yue 001; Fei Ding 001; Junbo Zhao 001 (SmartGridComm, 2025)

Reduced-Order Decomposition and Coordination Approach for Markov-Based Stochastic Unit Commitment With Distributed Wind Farms. - Niranjan Raghunathan; Zongjie Wang; Mikhail A. Bragin; Peter B. Luh; Bing Yan 003; Tianqiao Zhao; Meng Yue 001 (IEEE Access, 2025)

Conformalized prediction of post-fault voltage trajectories using pre-trained and finetuned attention-driven neural operators. - Amirhossein Mollaali; Gabriel Zufferey; Gonzalo Constante-Flores; Christian Moya; Can Li 010; Meng Yue 001; Guang Lin 001 (Neural Networks, 2025)

A Large Language Model for Determining Partial Tripping of Distributed Energy Resources. - Tianqiao Zhao; Amirthagunaraj Yogarathnam; Meng Yue 001 (IEEE Trans. Smart Grid, 2025)

Back-to-Back DC Transmission System Embedded Scheduling With Integrated Hydrogen Injection Modeling. - Anping Zhou; Jianhui Wang 001; Meng Yue 001 (IEEE Trans. Smart Grid, 2025)

Reinforcement Learning Based Symbolic Regression for Load Modeling. - Ding Lin; Han Guo; Jianhui Wang 001; Meng Yue 001; Tianqiao Zhao (CoRR, 2025)

A Deep Reinforcement Learning Method for Multi-objective Transmission Switching. - Ding Lin; Jianhui Wang 001; Tianqiao Zhao; Meng Yue 001 (CoRR, 2025)

From Natural Language to Solver-Ready Power System Optimization: An LLM-Assisted, Validation-in-the-Loop Framework. - Yunkai Hu; Tianqiao Zhao; Meng Yue 001 (CoRR, 2025)

An End-to-End Learning Framework for Real-Time Decomposition and Classification of Aggregate Measurements at Substations. - Tianqiao Zhao; Feiqin Zhu; Meng Yue 001; Jianhui Wang 001; Song Wang; Hossein Hooshyar (IEEE Trans. Ind. Informatics, 2025)

Robust Detection of Cyberattacks on Distribution System Volt-VAR Control via Adversarial and Uncertain Analysis. - Alaa Selim; Junbo Zhao 001; Fei Miao; Sung-Yeul Park; Shan Zuo; Georgios Fragkos; Meng Yue 001 (IEEE Internet Things J., 2026)

Adaptive Privacy Preserving Federated Learning for Virtual Power Plant Cyberattack Detection. - Yingrui Fan; Junbo Zhao 001; Meng Yue 001 (IEEE Trans. Smart Grid, 2026)