Consortium agreement signed
Partners align on research work packages, training plan, and mobility schedule.
SAILING is a Marie Sklodowska-Curie Doctoral Network advancing secure AI and digital twin technologies for the smart Internet-of-Energy. The project addresses intermittent renewables, dynamic demand, and resilience requirements through AI-driven digital twins, blockchain-secured AI, predictive energy optimization, and deep learning fault detection.
The network will train 12 early-stage researchers across academia and industry to deliver reliable, resilient, and energy-efficient IoE systems for a cleaner future.
Coordinator: The University of Exeter
Start: 1 January 2026
End: 31 December 2029
EU contribution: Not yet published (CORDIS).
Build a secure, intelligent Internet-of-Energy where digital twins and AI enable transparent, real-time control of energy planning, storage, distribution, and maintenance.
High-fidelity, real-time digital representation of IoE assets and dynamics.
Blockchain-backed and adversarially robust AI pipelines for safety-critical energy systems.
Scalable optimization of storage, dispatch, and demand response across distributed sites.
Deep learning models for early fault detection and accurate failure forecasting.
New theory and methods for secure AI and digital twin architectures in IoE.
Deployable tools for utilities and energy operators to improve reliability and efficiency.
Cleaner, more resilient energy systems that accelerate the EU zero-carbon transition.
Partners align on research work packages, training plan, and mobility schedule.
12 doctoral positions will be announced with joint supervision and cross-sector secondments.
Kickoff meeting planned for Q1 2026 at the University of Exeter.
Interested in doctoral positions, secondments, or collaboration? We would love to hear from you.