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Secure AI and Digital Twin Empowered Smart Internet-of-Energy (SAILING)

 

Project no.: 101227573

Project description:

Renewable energy sources are intermittent and unpredictable, while energy demand can shift rapidly. Managing large-scale distributed energy systems requires resilience and security. The main challenges include building accurate real-time digital models, securing AI-based solutions, optimising energy use, and detecting faults or failures quickly. Supported by the Marie Skłodowska-Curie Actions programme, the SAILING project unites leading academic and industrial partners to create smart energy management and fault-diagnosis systems powered by advanced digital twin technology and secure AI. Key innovations include AI-driven, high-fidelity digital twins, blockchain-secured AI, predictive energy optimisation, and deep learning for rapid fault detection. By training early-stage researchers and fostering collaboration across sectors, SAILING will help deliver more efficient Internet-of-Energy systems.

Project funding:

EU Research and Innovation Funding Programme “Horizon Europe”


Project results:

SAILING will train Early-Stage Researchers across sectors and disciplines in the novel concepts and methodologies of smart IoE, equip them with sought-after professional and transferable skills, foster broader perspectives, and cultivate them to become future leaders in IoE. Through cutting-edge research and multidisciplinary cross-sectoral collaborations, SAILING will drive scientific breakthroughs with innovative digital twin and secure AI technologies for realising reliable, resilient, and energy-efficient smart IoE, and revolutionising the energy sector for a more sustainable and cleaner future.

Period of project implementation: 2026-01-01 - 2029-12-31

Project coordinator: Belgian Nuclear Research Centre (SCK CEN)

Project partners: Soli Tek R&D, UAB, Fundacio Institut De Recerca En Energia De Catalunya, Aarhus University, Technische Universitaet Wien, Kaunas University of Technology, Technologies for Nuclear Energy State Owned Company (RATEN), NRG PALLAS BV (PALLAS), CENTRO DI RICERCA, SVILUPPO E STUDI SUPERIORI IN SARDEGNA SOCIET? A RESPONSABILIT? LIMITATA (CRS4)

Head:
Audrius Jonaitis

Duration:
2026 - 2029

Department:
Department of Electrical Power and Energy Systems, Faculty of Electrical and Electronics Engineering