Xiaoyu Zhang

Xiaoyu Zhang


Personal profile

Personal profile

Xiaoyu Zhang completed his Ph.D. degree recently in power system group, Department of Electronic Engineering, and he will soon took a lectureship of Artifical Intelligence in a Chinese university. He is working to design an advanced smart meter which can implement hybrid trade-off algorithm between sharing (utility) and hiding (privacy) to accommodate both legitimate objectives sharing and hiding, in a fair manner. Xiaoyu’s research interests include smart grid privacy protection, demand-side management, and deep learning.

Before landing in Royal Holloway, Xiaoyu studied at University of Birmingham, where he was awarded Msc with Distinction in Electrical Power System. He also had several internship experiences in State Grid Ltd, China, Datang International Generation Ltd, China, etc.

Xiaoyu’s study is funded by the Leverhulme Trust, The Michael St John Candy Scholarship, and Royal Holloway, University of London.

Other work


Best Paper Award (Frist Prize) in 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference.

Journal/ Conference Reviewer:

(1) Energy Research & Social Science;

(2) IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm);

(3) IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).


Educational background

2016-2017: MSc with Distinction, Electrical Power System, Univeristy of Birmingham, UK

2012-2016: BSc (Hons), North China Electric Power University, Beijing, China

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 9 - Industry, Innovation, and Infrastructure

Education/Academic qualification

Electrical Power System, Msc with Distinction, University of Birmingham

Sept 2016Dec 2017

Award Date: 5 Dec 2017

B.Eng(Hons), North China Electric Power University, Beijing


Award Date: 30 Jun 2016


  • Electrical power
  • Smart Grid
  • Machine learning
  • Deep Learning

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or