Doctoral Network

Secure AI and Digital Twin Empowered Smart Internet-of-Energy

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.

2026-2029Project duration
11Beneficiaries
12ESR positions

Project Facts

Grant ID: 101227573 Horizon Europe MSCA Doctoral Networks

Coordinator: The University of Exeter

Start: 1 January 2026

End: 31 December 2029

EU contribution: Not yet published (CORDIS).

Vision & Challenges

Vision

Build a secure, intelligent Internet-of-Energy where digital twins and AI enable transparent, real-time control of energy planning, storage, distribution, and maintenance.

Key challenges

  • Intermittent renewables and volatile demand.
  • Large-scale distributed energy integration.
  • Resilience, security, and trustworthy AI.
  • Fast fault detection and failure prediction.

Objectives & Innovations

AI-driven digital twins

High-fidelity, real-time digital representation of IoE assets and dynamics.

Secure and reliable AI

Blockchain-backed and adversarially robust AI pipelines for safety-critical energy systems.

Predictive energy optimization

Scalable optimization of storage, dispatch, and demand response across distributed sites.

Rapid fault diagnosis

Deep learning models for early fault detection and accurate failure forecasting.

Impact

Scientific impact

New theory and methods for secure AI and digital twin architectures in IoE.

Industrial impact

Deployable tools for utilities and energy operators to improve reliability and efficiency.

Societal impact

Cleaner, more resilient energy systems that accelerate the EU zero-carbon transition.

Governance

Steering & training

  • Supervisory Board for strategic direction.
  • Training Committee for ESR curriculum and mobility.
  • Industry Mentors for real-world alignment.

Quality & ethics

  • Ethics and Data Committee for compliance.
  • Open Science lead for data and software policy.
  • ESR Council for researcher feedback.

Latest News

Consortium agreement signed

Partners align on research work packages, training plan, and mobility schedule.

Recruitment opens

12 doctoral positions will be announced with joint supervision and cross-sector secondments.

Kickoff event scheduled

Kickoff meeting planned for Q1 2026 at the University of Exeter.

Collaborate with SAILING

Interested in doctoral positions, secondments, or collaboration? We would love to hear from you.

Get in touch