| 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 | 52 | 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 | 45 | 2021 |
| 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 | 29 | 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 | 28 | 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 | 27 | 2020 |
| 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 | 22 | 2019 |
| Spatio-temporal graph convolutional neural networks for physics-aware grid learning algorithms T Wu, IL Carreņo, A Scaglione, D Arnold IEEE Transactions on Smart Grid 14 (5), 4086-4099, 2023 | 18 | 2023 |
| 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 |
| 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 | 14 | 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 | 9 | 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 | 7 | 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 | 6 | 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 | 6 | 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 | 3 | 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 18, 5096-5108, 2023 | 2 | 2023 |
| A Review of Safe Reinforcement Learning Methods for Modern Power Systems T Su, T Wu, J Zhao, A Scaglione, L Xie arXiv preprint arXiv:2407.00304, 2024 | 1 | 2024 |
| Voltage security region of a three-phase unbalanced distribution power system with dynamics IL Carreņo, A Scaglione, D Arnold, T Wu IEEE Transactions on Power Systems, 2024 | 1 | 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 | 1 | 2024 |
| Transferable Learning of GCN Sampling Graph Data Clusters from Different Power Systems T Wu, A Scaglione, D Arnold, T Chen | | 2024 |
| A Federated Learning Approach for Graph Convolutional Neural Networks A Campbell, H Liu, A Scaglione, T Wu 2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM …, 2024 | | 2024 |
Ying-Jun Angela ZhangThe Chinese University of Hong Kong; Fellow of IEEEVerified email at ie.cuhk.edu.hk
