About Me
I received my Ph.D. from the University of New South Wales (UNSW) under the supervision of Prof. Zhao Yang Dong and A/Prof. Guo Chen. Prior to joining HKUST(GZ), I worked as a postdoctoral researcher at the University of New South Wales and the University of Sydney. My research aims to enhance the integration of renewable energy sources into the grid and achieve low-carbon energy and transportation systems.
Research Interests
My research focuses on flexible resource management in smart grids, AI-driven autonomous energy systems, energy transactions, transportation electrification, and the application of optimization theory, game theory, and computational intelligence in these areas.
Research Directions
The key areas of my work include:
- Smart Grid Flexible Resource Management (Electric Vehicles, Microgrids, Batteries, etc.)
- AI-Driven Autonomous Energy Bidding and Management System
- Energy Transaction
- Transportation Electrification
Open positions
Long-term Openings for Postdoctoral Researchers, PhD candidates, MPhil students, and Research Assistants in STEM disciplines (Electrical Engineering, Artificial Intelligence, Operations Research/Optimization, and related fields).
Candidates with a strong publication record in top-tier journals or conferences and demonstrated self-motivation are preferred.
Publications
Here are some of my recent publications:
- X. Li, F. Luo, C. Zhang, and Z. Y. Dong. "Stochastic EV Charging Dispatch in Unbalanced Three-phase Networks Based on Interpretable Fuzzy Representation of User Preferences." IEEE Transactions on Power Systems, vol. 40, no. 2, pp. 1623-1635, March 2025, doi: 10.1109/TPWRS.2024.3428834. Link
- X. Li, G. Chen, C. Li, Z. Xu, F. Luo, and Z. Y. Dong. "Communication-efficient Distributed Pricing for Power-Hydrogen Systems with Electric Vehicles and Renewable Energy Integration." IEEE Transactions on Smart Grid, vol. 16, no. 1, pp. 541-553, Jan. 2025, doi: 10.1109/TSG.2024.3413755. Link
- X. Li, C. Yip, Z. Y. Dong, C. Zhang, and B. Wang. "Hierarchical Control on EV Charging Stations for PV Hosting Capacity Maximization in Unbalanced Distribution Networks with Ancillary Service Functions." International Journal of Electrical Power & Energy Systems, vol. 160, 110097, 2024, doi: 10.1016/j.ijepes.2024.110097. Link
- X. Li, F. Luo, and C. Li. "Multi-agent Deep Reinforcement Learning-based Autonomous Decision-making Framework for Community Virtual Power Plants." Applied Energy, vol. 360, 122813, 2024, doi: 10.1016/j.apenergy.2024. Link
- X. Li, H. Liu, C. Li, G. Chen, C. Zhang, and Z. Y. Dong. "Deep Reinforcement Learning Based Explainable Pricing Policy for Virtual Storage Rental Service." IEEE Transactions on Smart Grid, vol. 14, no. 6, pp. 4373-4384, Nov. 2023, doi: 10.1109/TSG.2023.3253140. Link
- X. Li, C. Li, G. Chen, and Z. Y. Dong. "A Data-driven Joint Chance-constrained Game for Renewable Energy Aggregators in the Local Market." IEEE Transactions on Smart Grid, vol. 14, no. 2, pp. 1430-1440, March 2023, doi: 10.1109/TSG.2022.3163131. Link
- X. Li, C. Li, F. Luo, G. Chen, Z. Y. Dong, and T. Huang. "Electric Vehicles Charging Dispatch and Optimal Bidding for Frequency Regulation Based on Intuitionistic Fuzzy Decision Making." IEEE Transactions on Fuzzy Systems, vol. 31, no. 2, pp. 596-608, Feb. 2023, doi: 10.1109/TFUZZ.2022.3220964. Link
- X. Li, C. Li, X. Liu, G. Chen, and Z. Y. Dong. "Two-stage Community Energy Trading Under End-edge-cloud Orchestration." IEEE Internet of Things Journal, vol. 10, no. 3, pp. 1961-1972, 1 Feb. 2023, doi: 10.1109/JIOT.2022.3140336. Link
- X. Li, C. Li, G. Chen, and Z. Y. Dong. "A Risk-averse Energy Sharing Market Game for Renewable Energy Microgrid Aggregators." IEEE Transactions on Power Systems, vol. 37, no. 5, pp. 3528-3539, Sept. 2022, doi: 10.1109/TPWRS.2021.3137898. Link
For a full list of publications, visit my publication page.
Professional Activities
In addition to my research, I am involved in various academic and professional activities, including:
- Regular Reviewer: Regularly review articles for high-impact peer-reviewed journals, such as IEEE Transactions on Smart Grid, Applied Energy, and IEEE Transactions on Energy Markets, Policy, and Regulation.
- Conference Organization: Organization Committee Member (ICSCGE 2024), Technical Committee Member (CSCSG 2024) and Session Chair (SmartGridComm 2025, ICONIP 2023 and EI2 2023).
- Guest Lecturer: Delivered guest lectures on ELEC9781: Energy Storage Systems (Semester 2, 2024) and ELEC3111: Distributed Energy Generation (Semester 3, 2024) at UNSW.
Latest News
- Awarded the Chinese Government Award for Outstanding Self-financed Students Abroad (Category B, Global Top 50 Recipients) in June 2025.
- Appointed as Young Advisory Board Member for Energy Conversion and Economics in May 2025.
- Invited Speaker: 2024 International Conference on Smart Cities and Smart Grid (CSCSG 2024), “Communication-Efficient Distributed Pricing for Power-Hydrogen Systems with Electric Vehicles and Renewable Energy Integration,” Sydney, Australia, 28 Nov. 2024.
- Invited Talk: Public Research Seminar, The Hong Kong University of Science and Technology, “Electric Vehicle Charging Dispatch in Low-Carbon Energy and Transportation Systems”, Hong Kong, 13 Aug. 2024.
- Invited Talk: Interdisciplinary Research Across the Faculty of Engineering, the University of Sydney, “Application of Deep Reinforcement Learning in Energy Community Pricing Problems”, Sydney, Australia, 24 Jun. 2024.