Mr. ZHOU Min (周敏)
Research Output
- 2024
- 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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
- 2023
- 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. 18/346,923Research output: Patents, Agreements and Assignments › RGC 51 - Patents (CityU)
- 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 Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 9 - 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. 964-967Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 18 - 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 Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Scopus citations: 1 - 2021
- 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. 207-220Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Scopus citations: 82