X. Wang, S. Wang, L. Du, and Y. Chen, "Online Hierarchical Aggregate Power Flexibility Characterization of EV Charging Stations with Disaggregation Feasibility Guarantee", IEEE Transactions on Transportation Electrification, in press.
M. Zhai, O. Abu-Znad, S. Wang, and L. Du, "A Bayesian Potential-based Architecture for Mutually Beneficial EV Charging Infrastructure-DSO Coordination", IEEE Transactions on Transportation Electrification, in press.
S. Wang, L. Du, and X. Chen, "Bayesian Active Learning-Based Soft Data Space Calibration for System-Wise Aggregate Flexibility Characterization", IEEE Transactions on Smart Grid, in press.
Z. Zhao, D. Moscovitz, L. Du, S. Wang, and X. Fan, "Deep Factorization Machine Model for Disaggregation of Transmission Load Profiles with High Penetration of Behind-The-Meter Solar", IEEE Transactions on Industry Applications, in press.
S. Wang, L. Du, B. Cui, and Y. Li, "Multi-Factor-Coupled, Ahead-of-Time Aggregation of Power Flexibility Under Forecast Uncertainty", IEEE Transactions on Sustainable Energy, in press.
S. Wang, L. Du and J. R. Marden, "Learning in Potential Games for Electric Power Grids: Models, Dynamics, and Outlook", IEEE Systems Journal, vol. 16, no. 3, pp. 5079-5091, Sept. 2022.
S. Wang, L. Du, Y. Li and R. Fan, "Stochastically Stable Synchronous Learning for EV Aggregators Considering Their Collective Age of Information", IEEE Transactions on Transportation Electrification, vol. 8, no.1, pp. 432-441, March 2022.
S. Wang, L. Du, X. Fan, and Q. Huang, "Deep Reinforcement Scheduling of Energy Storage Systems for Real-time Voltage Regulation in Unbalanced LV Networks with High PV Penetration", IEEE Transactions on Sustainable Energy, vol. 12, no. 4, pp. 2342-2352, Oct. 2021.
S. Wang, L. Du, J. Ye, and D. Zhao, "A Deep Generative Model for Non-intrusive Identification of EV Charging Profiles", IEEE Transactions on Smart Grid, vol. 11, no. 6, pp. 4916-4927, Nov. 2020.
S. Wang et al. "A Data-driven Multi-agent Autonomous Voltage Control Framework Using Deep Reinforcement Learning", IEEE Transactions on Power Systems, vol. 35, no. 6, pp. 4644-4654, Nov. 2020.
S. Wang, L. Du, J. Ye, and L. He, "Non-cooperative Social Welfare Optimization with Resiliency Against Network Anomaly", IEEE Transactions on Industrial Informatics, vol. 16, no. 4, pp. 2403-2412, April 2020.
S. Wang, L. Du, L. Zhu, and Y. Li, "Cascaded Learning of Grid-to-Graph Embeddings for Voltage Area Partition in Inaccurate Multiphase Distribution Networks", 64th IEEE Conference on Decision and Control (CDC 2025).
S. Wang, L. Du, and X. Chen, "Cost-Aware Inner-Ball Represented Economic Flexibility Characterization for Distribution Systems Under Uncertainties", 2025 IEEE Power & Energy Society General Meeting (PESGM 2025).
S. Wang, O. Abu-Znad, L. Du, and S. Sao "Learning-Assisted Aggregate Flexibility Characterization for EV Charging Stations Considering Scheduling Deviation Uncertainty", In Proceedings of ITEC 2025.
S. Wang, L. Du, L. Zhu, and Y. Li, "Neural Spectral Clustering Based Voltage Area Partition of Active Distribution Systems", 63rd IEEE Conference on Decision and Control (CDC 2024).
Y. Chen, S. Wang, and L. Du, "Learning Power System Vulnerabilities through Multi-View Topological Neural Networks", 2024 IEEE Power & Energy Society General Meeting (PESGM 2024).
Z. Zhao, D. Moscovitz, S. Wang, X. Fan and L. Du, "Semi-Supervised Disaggregation of Load Profiles at Transmission Buses with Significant Behind-the-Meter Solar Generations", In Proceedings of IEEE ECCE 2022.
S. Wang, B. Cui and L. Du, "An Efficient Power Flexibility Aggregation Framework via Coordinate Transformation and Chebyshev Centering Optimization", In Proceedings of IEEE PESGM 2022.
S. Wang, H. Sun, J. Guo, K. K. Jin, and D. Nikovski, "Solving Bernoulli Bandit Problems for Weather-relative Overhead Distribution Line Failures Forecasting", In Proceedings of IEEE PESGM 2021.
D. Sun, S. Wang, L. Du, and X. Lu, "Harmonic Compensation Control of Grid Interactive Inverters Based on Data-driven Harmonic State Space Modeling", In Proceedings of IEEE ECCE 2021.
Y. Du, S. Wang, X. Lu, L. Du, Y. Wang, B. Leao, and S. Suresh, "Physics-Based Feature Extraction from Bulk Time-Series PMU Datasets for Event Detection", In Proceedings of IEEE PESGM 2021.
S. Wang, L. Du, and Y. Li, "Decentralized Volt/Var Control of EV Charging Station Inverters for Voltage Regulation", In Proceedings of ITEC 2020.
S. Wang, L. Du, and Q. Zhou, "A Semi-Supervised Deep Transfer Learning Architecture for Energy Disaggregation", In Proceedings of IEEE PESGM 2019.
S. Wang, D. Sun, L. Du, and J. Ye, "Noncooperative Distributed Social Welfare Optimization with EV Charging Response", In Proceedings of IECON 2018.
S. Wang, L. Du, J. Ye, and D. Zhao, "Robust Identification of EV Charging Profiles", In Proceedings of ITEC 2018.
S. Wang, J. Li, and L. Wu, "An Integrated Distributed Economic Dispatch-Droop Control Architecture for Distribution System Operation", In Proceedings of IEEE PESGM 2018.
H. Sun, S. Wang, K. K. Jin, J. Guo, "Weather-related Overhead Distribution Line Failures Online Forecasting", 2022-7-28, U.S. Patent 17,159,782.
J. Duan, S. Wang et al. "Systems and Methods of Autonomous Voltage Control in Electric Power Systems", 2021-5-13, U.S. Patent 17,091,587.