Tianqiao Zhao

22 papers Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
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 — 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
Event-Based Hybrid Bi-Level Energy Management and Control Framework of Networked Microgrid.
IEEE Trans. Smart Grid
Tao Wu, Jianhui Wang, Tianqiao Zhao, Anping Zhou, Badrul Chowdhury, Robert Cox
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
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
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
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
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
2021 J jnl
An MPC-Aided Resilient Operation of Multi-Microgrids With Dynamic Boundaries.
IEEE Trans. Smart Grid
Tianqiao Zhao, Jianhui Wang, Xiaonan Lu
2021 J jnl
Decentralized Coordinated State Estimation in Integrated Transmission and Distribution Systems.
CoRR
Ying Zhang, Yanbo Chen, Jianhui Wang, Meng Yue, Tianqiao Zhao
2021 — conf
Resilient Distributed Control Approach for Online Voltage Regulation in Distribution Networks under Adversaries.
HICSS
Tianqiao Zhao, Jianhui Wang
2020 — conf
Distributed Control of Virtual Storage Plants in Microgrids for Short Term Operating Reserve in UK.
ISGT-Europe
Tianqiao Zhao, Alessandra Parisio, Jovica V. Milanovic
2019 J jnl
Consensus-Based Distributed Optimal Energy Management With Less Communication in a Microgrid.
IEEE Trans. Ind. Informatics
Tianqiao Zhao, Zhenhong Li, Zhengtao Ding
2018 J jnl
Distributed Finite-Time Optimal Resource Management for Microgrids Based on Multi-Agent Framework.
IEEE Trans. Ind. Electron.
Tianqiao Zhao, Zhengtao Ding
2017 J jnl
Distributed Initialization-Free Cost-Optimal Charging Control of Plug-In Electric Vehicles for Demand Management.
IEEE Trans. Ind. Informatics
Tianqiao Zhao, Zhengtao Ding