About SAILING

Background

SAILING addresses the transformation of conventional electricity systems into a distributed Internet-of-Energy ecosystem where smart grids, digitalisation, renewable integration, and AI-enabled automation work together. The proposal positions IoE as a central enabler of cleaner, safer, and more efficient energy infrastructures.

Research Aim

The network aims to create a ground-breaking intelligent and automated energy management system powered by secure AI and digital twin technologies, while training 12 ESRs through a highly integrated doctoral programme that spans academia and industry.

Research and Innovation Objectives

• RO-1: Create a high-fidelity IoE digital twin for real-time, uncertainty-aware system representation.
• RO-2: Develop secure AI methods that defend IoE against malicious data tampering, model poisoning, and privacy attacks.
• RO-3: Design an intelligent and scalable energy management strategy that adapts to dynamic supply and demand.
• RO-4: Build agile fault detection and accurate failure prediction methods for resilient IoE operation.
• RO-5: Demonstrate the integrated outcomes in an intelligent energy optimisation system on real-world grid infrastructure.

Programme Structure

The proposal organises the research into five scientific work packages supported by three transversal programme packages for management, training, and dissemination. Scientific work begins in Month 7 and runs through Month 42, while the full doctoral network spans 48 months.

Training model: Joint supervision, cross-sector secondments, annual workshops, summer schools, plenary meetings, and open-science activities are all integrated into the ESR pathway.