Special Session 4

Technologies and Applications of Digital Twin for Developing Smart Energy Systems

Submission Method

Manuscript should be submitted via https://easychair.org/conferences/?conf=icopesa2024, please choose Special Session 4 .


The global energy industry is adapting to the continuous development of the digital era. In this context, accelerating energy transformation has become an industry consensus. However, there are institutional, technological, and market barriers in the energy industry, which pose challenges to energy transformation. Digital twin technology can establish precise connections between the physical and digital worlds, helping to solve the technical challenges faced by the development of smart energy, and supporting precise simulation and control of energy interconnection networks from multiple perspectives. However, the definition and application architecture of digital twin technology in the smart energy industry still need further research, and the application experiments of digital twin technology in energy systems are only in the preliminary verification and exploration stage.
In this session, we focus on sorting out the demand for digital twin technology in the smart energy field and the current research status and trends, exploring the definition and general architecture of digital twin technology in smart energy systems, and analyzing key technologies of digital twin in smart energy systems.


  • Digital twin modeling and simulation techniques for energy equipment
  • Digital twin monitoring systems and platform technologies for new energy sites
  • Digital twin-based intelligent operation and planning techniques for power grids
  • Digital twin-based state analysis and fault diagnosis techniques for energy equipment and systems
  • Edge-to-cloud data processing and information security technologies for digital twin smart energy systems
  • Dynamic evolution techniques and interaction specifications for digital twin smart energy systems
  • Application scenarios of digital twin smart energy systems
  • About the organizers

    TONG QIAN (Member, IEEE) received the B.E. and Ph.D. degrees in electrical engineering from the South China University of Technology (SCUT), Guangzhou, China, in 2015 and 2020, respectively. He will conduct postdoctoral research at the Hong Kong Polytechnic University, starting from January 2024. His research interests include distributed cooperation of networked multiagent systems and the flexible operation of net-zero energy communities in smart cities.

    WENHU TANG (M'05-SM'13) received the B.Sc. and M.Sc. degrees in electrical engineering from Huazhong University of Science and Technology, Wuhan, China, in 1996 and 2000, respectively, and the Ph.D. degree in electrical engineering from The University of Liverpool, Liverpool, U.K., in 2004. He was a Postdoctoral Research Associate and subsequently a Lecturer at The University of Liverpool between 2004 and 2013. He is currently a Distinguished Professor and the Dean of the School of Electric Power Engineering, South China University of Technology, Guangzhou, China. He also is a Fellow of IET. He has authored and coauthored more than 200 research papers, including 80 SCI papers and 1 Springer research monograph. His research interests include power systems risk assessment, renewable energy integration in power grids, condition monitoring and fault diagnosis for power apparatus, multiple-criteria evaluation and intelligent decision support systems.