Tianqiao Zhao

University of Texas at Arlington

H指数:13

被引数:675

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Corrigendum to “Co-optimization of nodal frequency stability and converter-based frequency support in low-inertia power system economic dispatch via region-partitioned convex learning” [Int. J. Electr. Power Energy Syst. 182 (2026) 112237]

勘误：“通过区域划分凸学习优化低惯量电力系统中节点频率稳定性和基于换流器的频率支持的联合经济调度” [Int. J. Electr. Power Energy Syst. 182 (2026) 112237]

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

IF5

2026-11-100

Co-optimization of nodal frequency stability and converter-based frequency support in low-inertia power system economic dispatch via region-partitioned convex learning

低惯性电力系统中通过区域划分凸学习优化节点频率稳定性和基于换流器的频率支持的经济调度

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

IF5

2026-10-210

OAAI

Correlation-assisted Anomaly Detection and Localization in Distributed Energy Resource Sensor Data

基于相关性分析的分布式能源资源传感器数据的异常检测与定位

IEEE Transactions on Smart Grid

IF9.8

2026-10-130

PRE

Diffusion model-based parameter estimation in dynamic power systems

基于扩散模型的动态电力系统参数估计

Communications Engineering

IF0

2026-04-302

PRE

Nodal Frequency Nadir Chance-Constrained Economic Dispatch Considering Contingency Frequency Service From Hydrogen Electrolysis

考虑氢电解备用频率服务的节点频率谷值机会约束经济调度

IEEE Transactions on Smart Grid

IF9.8

2026-04-170

PRE

Quantum Policy Learning for Energy Storage Arbitrage

量子策略学习在储能套利中的应用

IEEE Transactions on Smart Grid

IF9.8

2026-02-020

PRE

A Two-Stage Quantum Reinforcement Learning Method for Multi-Objective Transmission Switching

一种用于多目标输电开关的两阶段量子强化学习方法

IEEE Transactions on Power Systems

IF7.2

2025-12-160

PRE

Reduced-Order Decomposition and Coordination Approach for Markov-Based Stochastic Unit Commitment With Distributed Wind Farms

IEEE ACCESS

IF3.6

2025-01-010

Quantum Reinforcement Learning for Volt-VAR Control in Power Distribution Systems

量子强化学习在电力配网系统电压-无功控制中的应用

IEEE Open Access Journal of Power and Energy

IF3.2

2025-01-010

OAAI

Variational data augmentation for a learning-based granular predictive model of

ELECTRIC POWER SYSTEMS RESEARCH

IF4.2

2024-07-010

PRE

Bi-Level Adaptive Storage Expansion Strategy for Microgrids Using Deep Reinforcement Learning

IEEE TRANSACTIONS ON SMART GRID

IF9.8

2024-03-017

PRE

Bidding Strategy for Hybrid PV-BESS Plants via Knowledge-Data-Complementary Learning

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY

IF6.1

2024-01-010

PIDGeuN: Graph Neural Network-Enabled Transient Dynamics Prediction of Networked Microgrids Through Full-Field Measurement

IEEE ACCESS

IF3.6

2024-01-010

A Barrier-Certificated Reinforcement Learning Approach for Enhancing Power System Transient Stability

IEEE TRANSACTIONS ON POWER SYSTEMS

IF7.2

2023-11-019

Robust Power System Stability Assessment Against Adversarial Machine Learning-Based Cyberattacks via Online Purification

IEEE TRANSACTIONS ON POWER SYSTEMS

IF7.2

2023-11-018

PRE

Deep-Learning-Based Koopman Modeling for Online Control Synthesis of Nonlinear Power System Transient Dynamics

基于深度学习的非线性电力系统暂态动力学在线控制综合的Koopman建模

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

IF9.9

2023-10-019

PRE

A scalable planning framework of energy storage systems under frequency dynamics constraints

频率动力学约束下储能系统的可扩展规划框架

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

IF5

2023-02-012

OAAI

Structure-Informed Graph Learning of Networked Dependencies for Online Prediction of Power System Transient Dynamics

用于电力系统暂态动态在线预测的网络依赖的结构通知图学习

IEEE TRANSACTIONS ON POWER SYSTEMS

IF7.2

2022-11-0117

Neural Lyapunov Control for Power System Transient Stability: A Deep Learning-Based Approach

IEEE TRANSACTIONS ON POWER SYSTEMS

IF7.2

2022-03-0126

Learning Sequential Distribution System Restoration via Graph-Reinforcement Learning

IEEE TRANSACTIONS ON POWER SYSTEMS

IF7.2

2022-03-0143

Tianqiao Zhao

个人简介

教育背景

工作经历

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