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Tong WU
Tong WU
在 cornell.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Privacy-preserving distributed optimal power flow with partially homomorphic encryption
T Wu, C Zhao, YJA Zhang
IEEE Transactions on Smart Grid 12 (5), 4506-4521, 2021
442021
Deep learning to optimize: Security-constrained unit commitment with uncertain wind power generation and BESSs
T Wu, YJA Zhang, S Wang
IEEE Transactions on Sustainable Energy 13 (1), 231-240, 2021
402021
Distributed AC-DC optimal power dispatch of VSC-based energy routers in smart microgrids
T Wu, C Zhao, YJA Zhang
IEEE Transactions on Power Systems 36 (5), 4457-4470, 2021
262021
Voltage stability monitoring based on disagreement-based deep learning in a time-varying environment
T Wu, YJA Zhang, H Wen
IEEE Transactions on Power Systems 36 (1), 28-38, 2020
262020
Online Detection of Events With Low-Quality Synchrophasor Measurements Based on Forest
T Wu, YJA Zhang, X Tang
IEEE Transactions on Industrial Informatics 17 (1), 168-178, 2020
262020
A VSC-based BESS model for multi-objective OPF using mixed integer SOCP
T Wu, YJ Zhang, X Tang
IEEE Transactions on Power Systems 34 (4), 2541-2552, 2019
212019
Isolation forest based method for low-quality synchrophasor measurements and early events detection
T Wu, YJA Zhang, X Tang
2018 IEEE International Conference on Communications, Control, and Computing …, 2018
152018
Spatio-temporal graph convolutional neural networks for physics-aware grid learning algorithms
T Wu, IL Carreño, A Scaglione, D Arnold
IEEE Transactions on Smart Grid 14 (5), 4086-4099, 2023
132023
Missing data recovery in large power systems using network embedding
T Wu, YJA Zhang, Y Liu, WC Lau, H Xu
IEEE Transactions on Smart Grid 12 (1), 680-691, 2020
132020
Complex-value spatio-temporal graph convolutional neural networks and its applications to electric power systems AI
T Wu, A Scaglione, D Arnold
IEEE Transactions on Smart Grid, 2023
62023
Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control
T Wu, A Scaglione, D Arnold
2023 IEEE Power & Energy Society General Meeting, 2023
42023
Reinforcement learning using physics inspired graph convolutional neural networks
T Wu, A Scaglione, D Arnold
2022 58th Annual Allerton Conference on Communication, Control, and …, 2022
32022
Constrained reinforcement learning for predictive control in real-time stochastic dynamic optimal power flow
T Wu, A Scaglione, D Arnold
IEEE Transactions on Power Systems, 2023
22023
Network-Constrained Reinforcement Learning for Optimal EV Charging Control
T Wu, A Scaglione, AP Surani, D Arnold, S Peisert
2023 IEEE International Conference on Communications, Control, and Computing …, 2023
12023
Differential Privacy for Class-Based Data: A Practical Gaussian Mechanism
R Ramakrishna, A Scaglione, T Wu, N Ravi, S Peisert
IEEE Transactions on Information Forensics and Security 18, 5096-5108, 2023
12023
Robust Optimal Control of Electric Vehicles Charging for Stochastic and Differentially Private Demand
T Wu, R Nikhil, A Scaglione, S Peisert, D Arnold
TechRxiv, 2024
2024
Voltage security region of a three-phase unbalanced distribution power system with dynamics
IL Carreño, A Scaglione, D Arnold, T Wu
IEEE Transactions on Power Systems, 2024
2024
Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks
AP Surani, T Wu, A Scaglione
Proceedings of the 57th Hawaii International Conference on System Sciences …, 2024
2024
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