Research output per year
Research output per year
Personal profile
Biography
Dr. Liu received the BEng (Hons) in electronic engineering with first class from The Hong Kong Polytechnic University, Hong Kong, in 2014, BEng in microelectronics from Sun Yat-sen University, Guangzhou, China, in 2014, and the PhD degree in electrical engineering from Hong Kong Polytechnic University, Hong Kong, in 2019. Prior to joining Hong Kong Metropolitan University, Hong Kong, he was a postdoc with the Institute of Textile and Clothing at Hong Kong Polytechnic University, and then a research fellow with Centre for Complexity and Complex Networks (CCCN) and the Department of Electrical Engineering at City University of Hong Kong. He is currently a full member of the IEEE Power and Energy Circuits and Systems Technical Committee, and a member of IEEE Power and Energy Society. His research interests include cascading failure modeling and analysis, cyber-physical systems, and machine learning for robustness assessment in smart grids.
Publication website: https://www.researchgate.net/profile/Dong-Liu-76
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A two-stage resilient restoration framework for large-scale urban electric infrastructure systems under extreme hurricane disasters considering social vulnerability and economic factors
Yam, H., Li, S., Wang, S., Fang, K. & LIU, D., Aug 2026, In: Reliability Engineering and System Safety. 272Research output: Contribution to journal › Article › peer-review
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Robustness of Evolving Power Grids: Modeling and Analysis
LIU, D., Zhang, X. & Tse, C. K., 13 May 2026, 292 p.Research output: Book/Report › Book › peer-review
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Mitigating cascading failure in power grids with deep reinforcement learning-based remedial actions
Zhang, X., Wang, Q., Bi, X., Li, D., LIU, D., Yu, Y. & Tse, C. K., 6 Jun 2024, In: Reliability Engineering and System Safety. 250, 110242.Research output: Contribution to journal › Article
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Revealing Cascading Failure Vulnerability in Evolving Power Grids With Increasing Penetration of Inverter-Based Resources
LIU, D., Tse, C. K., Yang, J. & Zhang, X., 18 Dec 2024, In: IEEE Transactions on Circuits and Systems I Regular Papers. 72, 9, p. 5192-5204Research output: Contribution to journal › Article
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An integrated modeling framework for cascading failure study and robustness assessment of cyber-coupled power grids
Zhang, X., LIU, D., Tu, H. & Tse, C. K., 16 Jun 2022, In: Reliability Engineering and System Safety. 226, 108654.Research output: Contribution to journal › Article
Projects
- 1 Active
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Assessment of the Impact of AI Data Center Load Dynamics on Blackout Risk in Future Smart Grids
LIU, D. (PI) & Charles GUO Chao (CoI)
1/09/26 → 28/02/28
Project: Research