about Me

Kedi Zheng (郑可迪)

Biography

I am currently a PhD student in Dept. Electrical Engineering, Tsinghua University under the supervision of Dr. Qixin Chen. I received bachelor degrees of Electrical Engineering and Economics from Dept. Electrical Engineering and School of Economics and Management of Tsinghua University in 2017, respectively. I also serve as the mentor for students of class 2017 in Dept. Electrical Engineering since August, 2018. I am a reviewer for journals including IEEE Transactions on Power Systems, and International Transactions on Electrical Energy Systems.

My research interest focuses on the application of data analytic tools especially machine learning techniques in power systems, including graph structure analysis and flexible load modeling.

Please find my CV here. pdf

Education

  • August 2017 - July 2022 (expected), Pursuing PhD, Dept. Electrical Engineering, Tsinghua University
    • GPA: 3.6/4.0, Ranking: 10/60
  • August 2013 - July 2017, Bachelor of Engineering, Dept. Electrical Engineering, Tsinghua University
    • GPA: 91/100, Ranking: 10/142
    • Honored as “Excellent Graduate” by the City of Beijing and Tsinghua University
  • September 2014 - July 2017, Bachelor of Economics, School of Economics and Management, Tsinghua University

Publications

  • K. Zheng, Y. Wang, Q. Chen and Y. Li, “Electricity theft detecting based on density-clustering method”, 2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), Auckland, 2017, pp. 1-6. DOI: 10.1109/ISGT-Asia.2017.8378347 Link
  • Q. Chen, K. Zheng, C. Kang, and Q. Xia, “Detection Methods of Abnormal Electricity Consumption Behaviors: Review and Prospects”, Automation of Electric Power Systems, 2018, 42(17):189-199. DOI: 10.7500/AEPS20171128013 Link
  • K. Zheng, Q. Chen, Y. Wang, C. Kang, and Q. Xia, “A Novel Combined Data-Driven Approach for Electricity Theft Detection”, IEEE Transactions on Industrial Informatics, 2019, 15(3):1809-1819. DOI: 10.1109/TII.2018.2873814 Link
  • C. Feng, Y. Wang, K. Zheng, and Q. Chen, “Smart Meter Data-Driven Customizing Price Design for Retailers”, IEEE Transactions on Smart Grid, accepted, 2019. DOI: 10.1109/TSG.2019.2946341 Link

Skills

  • Matlab/Python/R/TEX
  • Chinese and basic English

Essays

  • K. Zheng, “Proof of an impressing identity” Hesi, December, 2014 (11):24-25. pdf