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
41 2021 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
34 2021 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
24 2020 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
24 2020 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
22 2021 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
15 2019 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
15 2018 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, 2023
13 2023 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
12 2020 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
6 2023 Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control T Wu, A Scaglione, D Arnold
2023 IEEE Power & Energy Society General Meeting, 2023
3 2023 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
3 2022 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
1 2023 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
1 2023 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, 2023
1 2023 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