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Call for Papers: Digitalisation and Digital Twins for Low Carbon Energy Systems

Scope:

Emerging smart grid technologies including artificial intelligence, distributed ledger, and 5G/6G drive the decarbonisation of energy systems with the least cost. The digitalisation of modern power grids enables large volumes of data to be exploited for assisting accurate prediction, strategic planning, smart control, and massive trading in energy systems. Digital twins provide a virtual replica of physical assets to integrate the advanced metering, simulation, communication, optimisation, and control technologies, which are vital for enhancing the predictability, responsiveness, interoperability, and automation of multi-energy systems. New models and application modes need to be discovered to coordinate stakeholders, maximise benefits, adapt state-temporal transitions for energy systems.

This special issue aims to solicit the innovative research on theories and practices of digitalisation and digital twins for energy systems. The scope of the research includes a single (multiple) energy vector(s) (e.g., electricity, gas, or heat), temporal scale(s) (e.g., long-term planning or short-term operation), spatial scale(s) (e.g., local energy systems or whole energy systems), model design and applications, and enabling technologies.

Important Date:

Deadline for manuscript submissions: 31 May 2024

Keywords:

  • Digitalised energy systems and markets
  • Digitalisation
  • Digital twins
  • Energy systems
  • Data analytics
  • Optimisation
  • Artificial intelligence
  • Security and Privacy
  • 5G-and-beyond communications
  • Cloud computing
  • Planning, operation, and trading
  • Enabling technologies
  • Smart sensors and meters
  • Models, trials, testbeds, and projects of digitalised energy systems

Special Editors:

  • Dr Weiqi Hua, University of Birmingham, UK.
  • Professor David C.H. Wallom, University of Oxford, UK.
  • Professor  C. Lindsay Anderson, Cornell University, USA
  • Dr Bruce Stephen, University of Strathclyde, UK.
  • Professor Peter D. Lund, Aalto University School of Science, Finland 

 

To submit your research paper, review or short communication, or for further information, please refer to our Instructions for Authors. If you have any questions, please contact [email protected].

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