Distributed Initialization-Free Cost-Optimal Charging Control of Plug-In Electric Vehicles for Demand Management. - Tianqiao Zhao; Zhengtao Ding (IEEE Trans. Ind. Informatics, 2017)

Distributed Finite-Time Optimal Resource Management for Microgrids Based on Multi-Agent Framework. - Tianqiao Zhao; Zhengtao Ding (IEEE Trans. Ind. Electron., 2018)

Consensus-Based Distributed Optimal Energy Management With Less Communication in a Microgrid. - Tianqiao Zhao; Zhenhong Li 002; Zhengtao Ding (IEEE Trans. Ind. Informatics, 2019)

Distributed Control of Virtual Storage Plants in Microgrids for Short Term Operating Reserve in UK. - Tianqiao Zhao; Alessandra Parisio; Jovica V. Milanovic (ISGT-Europe, 2020)

Resilient Distributed Control Approach for Online Voltage Regulation in Distribution Networks under Adversaries. - Tianqiao Zhao; Jianhui Wang (HICSS, 2021)

An MPC-Aided Resilient Operation of Multi-Microgrids With Dynamic Boundaries. - Tianqiao Zhao; Jianhui Wang 001; Xiaonan Lu (IEEE Trans. Smart Grid, 2021)

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

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 (CoRR, 2023)

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

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; Tianqiao Zhao (IEEE Access, 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 (CoRR, 2024)

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

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; Tianqiao Zhao; Meng Yue (IEEE Access, 2025)

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

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

Event-Based Hybrid Bi-Level Energy Management and Control Framework of Networked Microgrid. - Tao Wu; Jianhui Wang 001; Tianqiao Zhao; Anping Zhou; Badrul Chowdhury; Robert Cox (IEEE Trans. Smart Grid, 2025)

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