Yushuai Li

Postdoctoral Fellow - Digital infrastructure and security
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Visiting address Gaustadalléen 23B 0373 Oslo
Postal address Postboks 1080 0316 Oslo

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‪Yushuai Li‬ - ‪Google Scholar‬

Tags: distributed systems, energy internet, adaptive control, distributed optimziation

Selected publications

  • Y. Li, T. Li, H. Zhang, X. Xie and Q. Sun, "Distributed Resilient Double-Gradient-Descent Based Energy Management Strategy for Multi-Energy System under DoS Attacks," IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2022.3162669, 2022.
  • B. Huang, Y. Li*, F. Zhan, Q. Sun and H. Zhang, "A distributed robust economic dispatch strategy for integrated energy system considering cyber-attacks," IEEE Transactions on Industrial Informatics, vol. 18, No. 2, pp. 880-890, 2022. (*Corresponding author)
  • Y. Li, J. Wang, and R. Wang, et al., "A Switched Newton-Raphson-Based Distributed Energy Management Algorithm for Multi-Energy System under  Persistent DoS Attacks, " IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2021.3104393, 2021.
  • Y. Li, D. W. Gao, and W. Gao, et al., "A Distributed Double-Newton Descent Algorithm for Cooperative Energy Management of Multiple Energy Bodies in Energy Internet," IEEE Transactions on Industrial Informatics, vol. 17, No. 9, pp. 5993-6003, 2021.
  • Y. Li, D. W. Gao, H. Zhang, et al., "Double-mode energy management for multi-energy system via distributed dynamic event-triggered Newton-Raphson algorithm," IEEE Transactions on Smart Grid, vol. 11, No. 6, pp. 5339-5356, 2020.
  • Y. Li, H. Zhang, and X. Liang, et al., "Event-triggered based distributed cooperative energy management for multienergy systems," IEEE Transactions on Industrial Informatics, vol. 15, No. 14, pp. 2008-2022, 2019.
  • H. Zhang, Y. Li, and D. Gao, et al., "Distributed Optimal Energy Management for Energy Internet," IEEE Transactions on Industrial Informatics, vo. 13, No. 6, pp. 3081-3097, 2017.
  • L. Yang, Q. Sun, N. Zhang and Y. Li*, "Indirect multi-energy transactions of energy internet with deep reinforcement learning approach," IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2022.3142969, 2022. (*Corresponding author)
  • Y. Li, H. Zhang, and B. Huang, et al., "A distributed Newton-Raphson-based coordination algorithm for multi-agent optimization with discrete-time communication," Neural Computing &applications, vol. 32, pp. 4649–4663, 2020.
  • Y. Li, B. Huang, and H. Zhang, "Synchronization analysis for coupled static neural networks with stochastic disturbance and interval time-varying delay," Neural Computing &applications, vol. 30, No. 4, pp. 1123–1132. 2018.
  • Y. Li, H. Zhang, and J. Han, et al., "Distributed multi-agent optimization via event-triggered continuous-time Newton-Raphson algorithm," Neurocomputing, vol. 275, No. 31, pp. 1416-1425, 2018.
Published Jan. 24, 2022 12:10 PM - Last modified Apr. 28, 2022 9:01 AM

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