Mr. ZHOU Min (周敏)

Research Output

  1. 2024
  2. Published

    Safety Deep Reinforcement Learning Approach to Voltage Control in Flexible Network Topologies

    Deng, Y., Zhou, M., Chen, M. & Yang, Z., 2024, Proceedings of the 3rd Conference on Fully Actuated System Theory and Applications. Institute of Electrical and Electronics Engineers, Inc., p. 395-400 (Proceedings of the Conference on Fully Actuated System Theory and Applications, FASTA).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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  3. 2023
  4. Accepted/In press/Filed

    A Deep Learning-Based Approach For Solving Optimal Power Flow Problems With Flexible Topology

    CHEN, M. (Inventor) & ZHOU, M. (Inventor), 5 Jul 2023, (Accepted/In press/Filed) Priority No. 18/346,923

    Research output: Patents, Agreements and AssignmentsRGC 51 - Patents (CityU)

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  5. Published

    Ultra-short-term wind power interval prediction based on multi-task learning and generative critic networks

    Shi, J., Wang, B., Luo, K., Wu, Y., Zhou, M. & Watada, J., 1 Jun 2023, In: Energy. 272, 127116.

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 9
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  6. Published

    DeepOPF-FT: One Deep Neural Network for Multiple AC-OPF Problems with Flexible Topology

    Zhou, M., Chen, M. & Low, S. H., Jan 2023, In: IEEE Transactions on Power Systems. 38, 1, p. 964-967

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 18
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  7. Published

    Optimizing Demand Response in Distribution Network with Grid Operational Constraints

    Zhao, T., Zhou, M., Mo, Y., Wang, J. M., Luo, J., Pan, X. & Chen, M., 2023, e-Energy '23 - Proceedings of the 2023 The 14th ACM International Conference on Future Energy Systems. New York, NY: Association for Computing Machinery, Inc, p. 299-313 (e-Energy - Proceedings of the ACM International Conference on Future Energy Systems).

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Scopus citations: 1
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  8. 2021
  9. Published

    Multi-objective prediction intervals for wind power forecast based on deep neural networks

    Zhou, M., Wang, B., Guo, S. & Watada, J., Mar 2021, In: Information Sciences. 550, p. 207-220

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Scopus citations: 82
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