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Publications

For the latest publications, please see my Google Scholar Profile.

Preprint

  1. Tong Wu, Nikhil Ravi, Anna Scaglione, Sean Peisert, Daniel Arnold. Optimal Control of Stochastic and Differentially Private EV Charging: A Scalable Learning Approach, IEEE Transactions on Smart Grid, Under Review. [Link]

  2. Tong Su, Tong Wu, Junbo Zhao, Anna Scaglione, Le Xie. A Review of Safe Reinforcement Learning Methods for Modern Power Systems, Proceeding of the IEEE, Under Review. [Link]

Journal Papers

  1. Ignacio Losada Carreño, Anna Scaglione, Daniel Arnold, Tong Wu. Voltage security region of a three-phase unbalanced distribution power system with dynamics, IEEE Transactions on Power Systems. [Link]

  2. Tong Wu, Anna Scaglione, Daniel Arnold. Constrained reinforcement learning for predictive control in real-time stochastic dynamic optimal power flow, IEEE Transactions on Power Systems. [Link]

  3. Tong Wu, Anna Scaglione, Daniel Arnold. Complex-value spatio-temporal graph convolutional neural networks and its applications to electric power systems AI, IEEE Transactions on Smart Grid. [Link]

  4. Tong Wu, Ignacio Losada Carreno, Anna Scaglione, Daniel Arnold. Spatio-temporal graph convolutional neural networks for physics-aware grid learning algorithms, IEEE Transactions on Smart Grid. [Link]

  5. Raksha Ramakrishna, Anna Scaglione, Tong Wu, Nikhil Ravi and Sean Peisert. Differential Privacy for Class-Based Data: A Practical Gaussian Mechanism, IEEE Transactions on Information Forensics and Security. [Link]

  6. Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang. Privacy-preserving distributed optimal power flow with partially homomorphic encryption. IEEE Transactions on Smart Grid, 2021. [Link]

  7. Tong Wu, Changhong Zhao, Ying-Jun Angela Zhang. Distributed AC-DC optimal power dispatch of VSC-based energy routers in smart microgrids. IEEE Transactions on Power Systems, 2021. [Link]

  8. Tong Wu, Ying-Jun Angela Zhang, Shuoyao Wang. Deep Learning to Optimize: Security-Constrained Unit Commitment With Uncertain Wind Power Generation and BESSs. IEEE Transactions on Sustainable Energy, 2021. [Link]

  9. Tong Wu, Ying-Jun Angela Zhang, Yang Liu, Wing Cheong Lau, Huanle Xu. Missing data recovery in large power systems using network embedding. IEEE Transactions on Smart Grid, 2020. [Link]

  10. Tong Wu, Ying-Jun Angela Zhang, He Wen. Voltage stability monitoring based on disagreement-based deep learning in a time-varying environment. IEEE Transactions on Power Systems, 2020. [Link]

  11. Tong Wu, Ying-Jun Angela Zhang, Xiaoying Tang. Online Detection of Events With Low-Quality Synchrophasor Measurements Based on iForest. IEEE Transactions on Industrial Informatics, 2020. [Link]

  12. Tong Wu, Ying-Jun Angela Zhang, Xiaoying Tang. A VSC-based BESS model for multi-objective OPF using mixed integer SOCP. IEEE Transactions on Power Systems, 2019. [Link]

Conference Papers

  1. Tong Wu, Anna Scaglione, Daniel Arnold. Graph Convolutional Neural Network for the Control of Smart Inverters in Power Grids, In 2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Sept. 2022.

  2. Tong Wu, Ying-Jun Angela Zhang, Xiaoying Tang. Isolation forest based method for low-quality synchrophasor measurements and early events detection. In IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Oct. 2018.

  3. Tong Wu, Anna Scaglione, Daniel Arnold. Constrained Reinforcement Learning for Stochastic Dynamic Optimal Power Flow Control, In 2023 IEEE PESGM, DOI: 10.1109/PESGM52003.2023.10253087

  4. Tong Wu, Anna Scaglione, Adrian Petru Surani, Daniel Arnold, Sean Peisert. Network-Constrained Reinforcement Learning for Optimal EV Charging Control, IEEE SmartGridComm 2023 (invited paper), Accepted.

  5. Adrian Petru Surani, Tong Wu, Anna Scaglione. Competitive Reinforcement Learning for Real-Time Pricing and Scheduling Control in Coupled EV Charging Stations and Power Networks, 57th The Hawaii International Conference on System Sciences (HICSS), Accepted.

  6. Andrew Campbell, Hang Liu, Anna Scaglione, Tong Wu. A Federated Learning Approach for Graph Convolutional Neural Networks, IEEE Sensor Array and Multichannel Signal Processing Workshop 2024, Accepted.