Oliver Anderson and Gianluca Rapaglia have joined IREC’s Power Systems department as part of the SAILING project, a European initiative training 12 Early-Stage Researchers to advance digital twin and secure AI technologies.

The Internet-of-Energy, the digital layer connecting and automating how energy is generated, stored and distributed, can play an important role in Europe’s transition to a zero-carbon energy system. However, several challenges still need to be addressed, from creating accurate real-time digital models to improving AI security, energy optimisation and fault detection.

To address these challenges, the SAILING project, entitled “Secure AI and Digital Twin Empowered Smart Internet-of-Energy”, aims to build a secure and intelligent Internet-of-Energy where digital twins and AI enable transparent, real-time management of energy planning, storage, distribution and maintenance.

Within this framework, Oliver Anderson will focus on detecting and diagnosing faults in cyber-physical energy systems more effectively, helping improve the resilience, reliability and responsiveness of future power grids. Meanwhile, Gianluca Rapaglia will focus on enabling large-scale energy systems to balance supply and demand efficiently, while remaining scalable, responsive and adaptable.

Together, their research will contribute to IREC’s work within SAILING on the development of AI-based methods for fault detection, failure prediction, and distributed control and optimisation, supporting the resilience, reliability and efficient operation of large-scale Internet-of-Energy systems.

SAILING brings together 8 academic institutions and 3 industrial partners, combining expertise in AI, cloud computing, power management, digital twins, security and communications. Additionally, the Norwegian University of Science and Technology, the Polytechnic University of Catalonia and Kaunas University of Technology will also participate as associated partners. Coordinated by the University of Exeter, the project has a total budget of more than €3.5 million and will run for four years.

Link to CORDIS: https://cordis.europa.eu/project/id/101227573

Acknowledgements

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.