Editor’s Profile

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Prof. Yang Han

Designation : Professor

Affiliation : School of Mechatronics Engineering, University of Electronic Science and Technology of China (UESTC) Chengdu, China, 610054

Expertise: AC/DC microgrids, grid-connected inverters for renewable energy systems, power quality analysis and compensation, power converter modeling and control, power system analysis and simulation

Institution Profile Link : https://faculty.uestc.edu.cn/hanyang/en/index.htm

Offical Email :

Role: Editor

Journal: Trends in Electrical Engineering

About Me

Professor in Department of Power Electronics at
School of Mechatronics Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China
My expertise are AC/DC microgrids, grid-connected inverters for renewable energy systems, power quality analysis and compensation, power converter modeling and control, power system analysis and simulation


Recent Publications

  1. Hongzhi Jiang, Yang Han, Wenhao Li, Amr S. Zalhaf, Siyu Zhou, Yingjun Feng, Ping Yang. A line loss reduction optimization for renewable energy-based distribution networks using a probabilistic approach. International Journal of Circuit Theory and Applications. [Available] https://doi.org/10.1002/cta.3830
  2. Siyu Zhou, Yang Han, Karar Mahmoud, Mohamed M.F. Darwish, Matti Lehtonen, Ping Yang, Amr S. Zalhaf. A novel unified planning model for distributed generation and electric vehicle charging station considering multi-uncertainties and battery degradation. Applied Energy. Volume 348, 15 October 2023, 121566. [Available] https://doi.org/10.1016/j.apenergy.2023.121566
  3. Jiang, H., Han, Y., Zalhaf, A.S. et al. Low-cost urban carbon monitoring network and implications for china: a comprehensive review. Environ Sci Pollut Res 30, 105012–105029 (2023). [Available] https://doi.org/10.1007/s11356-023-29836-4
  4. Mingyue Zhang, Yang Han, Amr S. Zalhaf, Chaoyang Wang, Ping Yang, Congling Wang, Siyu Zhou, Tianlong Xiong. Accurate ultra-short-term load forecasting based on load characteristic decomposition and convolutional neural network with bidirectional long short-term memory model. Sustainable Energy, Grids and Networks. Volume 35, September 2023, 101129. [Available] https://doi.org/10.1016/j.segan.2023.101129