Biography:

Linwei Sang is an associate professor in the School of Electrical Engineering, Southeast University, Nanjing, China, and serves as an M.S. supervisor. His research focuses on fusing artificial intelligence with operations research for sustainable power system analytics, spanning forecasting, scheduling, and control. He received his Ph.D. in Electrical Engineering from Tsinghua University and his B.S. and M.S. degrees in Electrical Engineering from Southeast University with honors. He was a visiting scholar at the University of California, Berkeley, and also worked as a research intern at Alibaba DAMO Academy.

Publications:

Selected journal papers:
1. Linwei Sang, Yinliang Xu, Huan Long, Qinran Hu, and Hongbin Sun, "Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach," IEEE Transactions on Smart Grid, 2022, 13(4): 2822-2832.
2. Linwei Sang, Yinliang Xu, Huan Long, and Wenchuan Wu, "Safety-aware Semi-end-to-end Coordinated Decision Model for Voltage Regulation in Active Distribution Network," IEEE Transactions on Smart Grid, 2023, 14(3): 1814-1826.
3. Linwei Sang, Yinliang Xu, Zhongkai Yi, Lun Yang, Huan Long, and Hongbin Sun, "Conservative Sparse Neural Network Embedded Frequency Constrained Unit Commitment With Distributed Energy Resources," IEEE Transactions on Sustainable Energy, 2023, 14(4): 2351-2363.
4. Linwei Sang, Yinliang Xu, and Hongbin Sun, "Encoding Carbon Emission Flow in Energy Management: A Compact Constraint Learning Approach," IEEE Transactions on Sustainable Energy, 2024, 15(1): 123-135.
5. Linwei Sang, Yinliang Xu, and Hongbin Sun, "Ensemble Provably Robust Learn-to-optimize Approach for Security-Constrained Unit Commitment," IEEE Transactions on Power Systems, 2023, 38(6): 5073-5087.
6. Linwei Sang, Yinliang Xu, Wenchuan Wu, and Huan Long, "Online Voltage Regulation of Active Distribution Networks: A Deep Neural Encoding-Decoding Approach," IEEE Transactions on Power Systems, 2024, 39(2): 4574-4586.
7. Linwei Sang, Qinran Hu, Yinliang Xu, and Zaijun Wu, "Privacy-preserving Hybrid Cloud Framework for Real-time TCL-based Demand Response," IEEE Transactions on Cloud Computing, 2023, 11(2): 1182-1193.
8. Huan Long, Linwei Sang, Zaijun Wu, and Wei Gu, "Image-Based Abnormal Data Detection and Cleaning Algorithm via Wind Power Curve," IEEE Transactions on Sustainable Energy, 2020, 11(2): 938-946.
Patents: more than 10 invention patents have been applied for.

Research:

Research profile: Over the past five years, Dr. Sang has published 16 SCI-indexed papers and 5 EI-indexed papers, participated in 3 National Key R&D Program projects, 3 National Natural Science Foundation of China projects, 1 Chinese Academy of Sciences advisory project, and more than 10 technology projects with State Grid and China Southern Power Grid, and has filed more than 10 invention patents.

Selected projects:
1. Lightweight intelligent energy management technology with customizable coordinated control strategies, National Key R&D Program of China, 2025.01-2028.12, participant.
2. Model-data interactive forward dispatch optimization and decision-making for power grids, National Key R&D Program of China, 2022.10-2026.10, participant.
3. Key technologies for island multi-energy complementation dominated by floating offshore wind power, National Key R&D Program of China, 2022.09-2026.08, participant.
4. Optimal planning of wind-solar-hydro complementary systems, Chinese Academy of Sciences advisory project, 2022.03-2022.12, participant.
5. Data-model fusion driven coordinated optimal dispatch of massive distributed resources and high-renewable distribution networks, NSFC General Program, 2023.01-2026.12, participant.