Preprints

1. S. Wang, W. Wu*, C. Lin, Q. Wang, S. Xu, and B. Chen,"Physics-Informed Recurrent Network for State-Space Modeling of Gas Pipeline Networks", arXiv preprint, arXiv:2502.07230, 2025.

Journal papers

1. S. Wang and W. Wu*, "Aggregate Flexibility of Virtual Power Plants with Temporal Coupling Constraints," IEEE Transactions on Smart Grid, vol. 12, no. 6, pp. 5043-5051, Nov. 2021, doi: 10.1109/TSG.2021.3106646. (Over 200 Citations) [Sample Code]

2. S. Wang, W. Wu*, Q. Chen, J. Yu, and P. Wang, "Stochastic Flexibility Evaluation for Virtual Power Plant by Aggregating Distributed Energy Resources," CSEE Journal of Power and Energy Systems, vol. 10, no. 3, pp. 988-999, May 2024, doi: 10.17775/CSEEJPES.2021.07410. (ESI Top 1% Highly Cited Paper in July 2024)

3. S. Wang and W. Wu*, “Aggregation Reference Model and Quantitative Metric System of Flexible Energy Resources,” Automation of Electric Power Systems, vol. 48, no. 03, pp. 1-9, Feb. 2024, doi: 10.7500/AEPS20230728003. (First Price, 2024 Best Paper Award)

4. S. Wang, C. Feng, and F. You*,"Non-Iterative Coordination of Interconnected Power Grids via Dimension-Decomposition-Based Flexibility Aggregation", IEEE Transactions on Power Systems, vol. 41, no. 1, pp. 705-717, Jan. 2026, doi: 10.1109/TPWRS.2025.3598762.

5. S. Wang, X. Wang, and W. Wu*, “Cloud Computing and Local Chip-Based Dynamic Economic Dispatch for Microgrids,” IEEE Transactions on Smart Grid, vol. 11, no. 5, pp. 3774–3784, Sep. 2020, doi: 10.1109/TSG.2020.2983556.

6. S. Wang, W. Wu*, C. Lin, and B. Chen, “A Dynamic Equivalent Energy Storage Model of Natural Gas Networks for Joint Optimal Dispatch of Electricity-Gas Systems,” IEEE Transactions on Sustainable Energy, vol. 15, no. 1, pp. 621-632, Jan. 2024, doi: 10.1109/TSTE.2023.3318349.

7. S. Wang, M. T. Bergman, C. K. Hall*, F. You*, “De Novo Design Multiple Microplastic-Binding Peptides with a Protein Language Model-Guided Generative Adversarial Network,” Journal of Chemical Information and Modeling, vol. 65, no. 16, pp. 8527-8537, Aug. 2025, doi: 10.1021/acs.jcim.5c01401.

8. C. Feng, S. Wang, H. O. Gao and F. You*, "Optimal Participation Design of DERs in General Frequency Shaping Services," IEEE Transactions on Power Systems, vol. 41, no. 1, pp. 682-694, Jan. 2026, doi: 10.1109/TPWRS.2025.3586137.

9. L. Weng, S. Wang, W. Zheng*, L. Yang, and J. Zhu, “Flexibility Resource Aggregation Model Based on Improved Boundary Shrinkage Algorithm,” Shandong Electric Power, vol. 52, no. 1, pp. 1-11, Jan. 2025, doi: 10.20097/j.cnki.issn1007-9904.2025.01.001.

10. W. Wang*, C. Liu, Y. Su, S. Wang, B. Li, Q. Ma and W. Wu “An Equivalent Model-Based Asynchronous Dispatch Method for Clusters of Flexible Distributed Energy Resources,” IET Smart Grid, vol. 6, no. 4, pp. 403–412, Aug. 2023, doi: 10.1049/stg2.12108.

11. Q. Wang, W. Wu*, C. Lin, S. Xu, S. Wang, and J. Tian, “An Exact Relaxation Method for Complementarity Constraints of Energy Storages in Power Grid Optimization Problems,” Applied Energy, vol. 371, p. 123592, Oct. 2024, doi: 10.1016/j.apenergy.2024.123592.

12. S. Xu, W. Wu*, C. Lin, Q. Wang, and S. Wang, “Efficient Solution of Adjustable Affine Chance-Constrained Real-Time Dispatch,” IEEE Transactions on Power Systems, vol. 40, no. 1, pp. 1192–1195, Jan. 2025, doi: 10.1109/TPWRS.2024.3498455.

13. W. Wu*, B. Zhang, H. Sun, B. Wang, Y. Yang, H. Liu, C. Lin and S. Wang “Energy Management and Distributed Energy Resources Cluster Control for Active Distribution Networks,” Automation of Electric Power Systems, vol. 44, no. 09, pp. 111–118, May 2020, doi: 10.7500/AEPS20191030001.

Conference papers

1. S. Wang, C. Feng, H. O. Gao and F. You*, "Aggregate the Equivalent Storage Flexibility of District Heat Network for Non-Iterative Integrated Electricity-Heat Scheduling," 2025 IEEE Power and Energy Society General Meeting (PESGM), Austin, TX, USA, 2025, pp. 1-5, doi: 10.1109/PESGM52009.2025.11225606

2. G. Sun, S. Wang*, X. Jia, W. Wu, and H. Li, “Evaluating Stochastic Flexibility Model of Vehicle Charge Stations in Distribution Network,” in 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2), Taiyuan, China, 2021, pp. 30-35, doi: 10.1109/EI252483.2021.9712912.

Academic service

• Schmidt Postdoctoral Associate, Cornell University, Sep 2025–Present
  Organize the Cornell University AI for Sustainability Distinguished Lecture
  Organize the Cornell University AI for Sustainability Frontier Research Colloquium

• Chair of IEEE PES Tsinghua Student Branch Chapter, IEEE Power & Energy Society, Jun 2020–Dec 2021
  Organize the Modern Power System Academic Seminar (twice)
  Provide academic supports and services for IEEE Members in this Branch Chapter

• Academic Assistant, Department of Electrical Engineering, Tsinghua University, Jan 2020–Dec 2021
  Organize the Tsinghua University–IET Electrical Engineering Academic Forum (twice)
  Organize the nation-wide Electrical Engineering Online Academic Workshop (five times)
  Provide academic supports and services for all faculty members and graduate students

Peer reviewer in journals

• IEEE
  IEEE Transactions on Smart Grid
  IEEE Transactions on Sustainable Energy
  IEEE Transactions on Power Systems
  IEEE Transactions on Energy Markets, Policy, and Regulation
  IEEE Power Engineering Letters
  CSEE Journal of Power and Energy Systems
  IEEE Systems Journal

• Elsevier
  Applied Energy
  Energy
  Electric Power Systems Research
  International Journal of Electrical Power and Energy Systems
  Sustainable Energy, Grids and Networks
  Global Energy Interconnection
  Energy Strategy Reviews
  Cyber-Physical Energy Systems

• Others
  Science Advances (AAAS)

• Massive Microplastics Remediation using Novel Microcleaners and Microbiome Processing Accelerated by Artificial Intelligence — National Science Foundation, EFMA‑2029327 (2024–2025)

  • Designed multiple microplastics‑binding peptide sequences with generative AI

• Research on Intelligent Cognition and Efficient Dispatch and Control of Generalized Loads — National Natural Science Foundation of China, U2066601 (2021–2024)

  • Assessed controllability of generalized loads across natural and social systems
  • Built reference aggregation models and quantitative metrics for DERs
  • Developed Data‑Driven Distribution Energy Management System (D3EMS)

• Key Techniques of Adaptive Grid Integration and Active Synchronization for Extremely High Distributed Photovoltaic Power Penetration Generation — National Key R&D Program, 2022YFB2402900 (2023–2024)

  • Identified distribution‑network dynamic parameters using data‑driven methods
  • Assessed voltage secure operation domains and cluster support potential
  • Optimized active voltage/frequency control for large‑scale inverter‑based resources

• Regional High‑Penetration Distributed Power Generation Clusters with Flexible Grid Integration, Group Control, and Group Regulation Technology — National Key R&D Program, 2016YFB0900400 (2018–2019)

  • Designed hierarchical EMS for cluster control and TSO–DSO coordination
  • Implemented multi‑timescale dispatch: day‑ahead, intra‑day rolling, real‑time
  • Developed Energy Management and Cluster Control System for Active Distribution Networks

• Optimal Dispatch and Operation of Virtual Power Plants by Aggregating Distributed Energy Resources — China Southern Grid (2018–2021)

  • Aggregated and disaggregated DERs within virtual power plants
  • Simulated bidding, market clearing, and settlement in power markets
  • Developed Intelligent Energy Management and Market Operation System of Virtual Power Plants

• Optimal Energy Management of Distributed Energy Resources in the Active Distribution Network — China State Grid (2021–2023)

  • Optimized voltage control and multi‑timescale active‑power dispatch
  • Implemented multi‑level aggregation model–based AGC
  • Developed Intelligent Energy Management System of Distributed Energy Resources

• Research on Coordinated Strategy of Multi‑type Controllable Resources Based on Collective Intelligence in an Energy Internet Environment — China State Grid (2021–2023)

  • Evaluated key parameters for controllable resource clusters
  • Coordinated dispatch among multi‑agents with perfect/imperfect information
  • Enabled distributed collaborative dispatch among multi‑agents

• Risk Dispatch and Distributed Resource Intelligent Control in Digital Active Distribution Network — China State Grid (2021–2023)

  • Modeled DERs with temporal coupling and stochastic factors
  • Coordinated transmission–distribution operations under manageable risk
  • Applied RL‑based intelligent control for distributed resources

• Collaborative Operation Technology of Distributed Source‑Load Interaction in the Transmission‑Distribution‑Microgrid System — China State Grid (2021–2024)

  • Aggregated flexible energy resources for hierarchical dispatch
  • Combined model‑ and data‑driven risk dispatch across Transmission‑Distribution‑Microgrid
  • Optimized Volt/VAR control in Transmission‑Distribution‑Microgrid systems