| Lu Shuai Title: Associate professor Research directions: Power system and integrated energy system, advanced computing, and artificial intelligence technology. Email: shuai_lu@seu.edu.cn office phone:18362961556 |
Biography:Prof. Lu received his B.S. degree from Nanjing University of Science and Technology in 2016, and his Ph.D. degree from Southeast University. In 2019, he studied as a joint Ph.D. student at the University of New South Wales (UNSW), Australia. His research primarily focuses on power systems and integrated energy, advanced computing, and artificial intelligence technology.
He currently leads two projects funded by the National Natural Science Foundation of China (NSFC), one sub-project of theSmart Grid National Science and Technology Major Project, andone sub-project of the National Key R&D Program of China. Dr. Lu is the recipient of the First Prize of the 2022 Jiangsu Provincial Science and Technology Progress Award (3/11) and the 2022 Outstanding Ph.D. Dissertation Award from the China Simulation Federation (CSF).
Dr. Lu serves as a Youth Editorial Board Member for journals including Applied Energy and Electric Power Automation Equipment. Furthermore, he is an active reviewer for journals such as Nature Communications, IEEE Transactions on Power Systems / Smart Grid / Sustainable Energy / Industrial Informatics, European Journal of Operational Research, Renewable & Sustainable Energy Reviews, and Artificial Intelligence Review.
Publications：
Jiayi Ding,Shuai Lu*, Xinghu Huang,et al., “Aggregate Model of Distributed Multi-Energy Flexible Resources for Power System Operation: A Decomposition Approach,”IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2026.3665226, 2026.
Yemin Wu,Shuai Lu*, Wei Gu,et al., “Smart Predict-Then-Optimize Based Unit Commitment for Integrated Energy Systems,”IEEE Transactions on Industrial Informatics,2026.
陆帅,顾伟,俞睿智,等. “电-气-热连锁故障多尺度仿真技术：挑战与展望,”中国电机工程学报, 2026.
Shuai Lu, Jiayi Ding, Mingji Chen,et al., “On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads,”IEEE Transactions on Smart Grid, vol. 16, no. 2, pp. 1993-1996, Mar 2025.
Shuai Lu, Zeyin Hou, Wei Gu,et al., “Integrating Building Thermal Flexibility Into Distribution System: A Privacy-Preserved Dispatch Approach,”IEEE Transactions on Industrial Informatics, vol. 21, no. 9, pp. 6868-6878, Jun 2025.
Zeyin Hou,Shuai Lu*, Zhi Wu,et al., “Robust parameter estimation of aggregate thermal dynamic model: A privacy-preserved approach”,CSEE Journal of Power and Energy Systems, doi: 10.17775/CSEEJPES.2024.02380, 2025.
Shuai Lu, Zihang Gao, Yong Sun,et al., “Aggregate Model of District Heating Network for Integrated Energy Dispatch: A Physically Informed Data-Driven Approach,”IEEE Transactions on Sustainable Energy, vol. 15, no. 3, pp. 1859-1871, Jul, 2024.
Zeyin Hou,Shuai Lu*, Yijun Xu,et al., “Privacy-Preserved Aggregate Thermal Dynamic Model of Buildings,”IEEE Transactions on Smart Grid, vol. 15, no. 6, pp. 5653-5664, Nov, 2024,
Shuai Lu, Yijun Xu, Wei Gu,et al., “On Thermal Dynamics Embedded Static Voltage Stability Margin,”IEEE Transactions on Power Systems, vol. 38, no. 3, pp. 2982-2985, May, 2023.
Shuai Lu, Wei Gu, Yijun Xu,et al., “nlock the Thermal Flexibility in Integrated Energy Systems: A Robust Nodal Pricing Approach for Thermal Loads,”IEEE Transactions on Smart Grid, vol.14, no. 4, pp. 2734-2746, Jul, 2023.
Shuai Lu, Yuan Li, Shixing Ding,et al., “Combined Electrical and Heat Load Restoration Based on Bi-Objective Distributionally Robust Optimization,”IEEE Transactions on Industrial Informatics, vol. 19, no. 8, pp. 9239-9252, Aug, 2023.
Shuai Lu, Yuan Li, Wei Gu,et al., “Economy-carbon coordination in integrated energy systems: Optimal dispatch and sensitivity analysis,”Applied Energy, vol. 351, 121871, 2023.
Shuai Lu, Guannan Lou, Wei Gu,et al., “Optimal dispatch with flexible uncertainty set for multi-energy systems: an IGDT based two-stage decision framework,”CSEE Journal of Power and Energy Systems, vol. 9, no. 6, pp. 2374-2385, Nov, 2023.
Research：
National Natural Science Foundation of China, Principal Investigator, 2026-2029
Smart Grid National Science and Technology Major Project, Participation, 2026-2030
National Natural Science Foundation of China, Principal Investigator, 2023-2025
Key National Research and Development Program Project, Participation, 2022-2026
Teaching：
Undergraduate courses: Signals and Systems; Fundamentals of Electrical and Electronic Technology; Leadership Competence
Graduate courses: Computational Methods for Electric Power Systems (in English); Integrated Energy Systems
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