EnergyGuard is a Horizon Europe project designed to enable the development, testing, and validation of artificial intelligence solutions in the energy sector.
At its core, the project establishes a large-scale Testing and Experimentation Facility (TEF) that connects real energy infrastructures across Europe—ranging from transmission networks to distributed systems such as Renewable Energy Communities.
Rather than focusing on isolated research, EnergyGuard creates an integrated environment where AI can be tested under real operating conditions, supported by digital twins, data platforms, and validation frameworks.
Total project cost: € 5 752 248,50
Why it matters
Energy systems are rapidly evolving.
The integration of renewable energy, the decentralisation of production, and the growing need for flexibility are increasing system complexity. Managing this complexity requires new tools capable of processing large volumes of data and supporting real-time decision-making.
Artificial intelligence can play a key role—but only if it is reliable, safe, and aligned with operational constraints.
Today, this is still a major gap:
AI solutions are often developed in controlled environments, without being exposed to the variability and constraints of real systems.
EnergyGuard addresses this by creating a structured pathway from development to deployment, ensuring that AI solutions are tested where energy systems actually operate.
What the project does
EnergyGuard builds a comprehensive framework to support AI adoption in the energy sector.
The project focuses on:
- creating interconnected testing facilities across multiple energy domains
- enabling AI developers to test solutions on real infrastructures
- integrating digital twins with operational systems
- providing validation, certification, and compliance mechanisms for AI applications
- ensuring alignment with European standards for trustworthy AI
Through this approach, EnergyGuard transforms testing from a theoretical exercise into a real validation process.
Expected impact
EnergyGuard contributes to the energy transition by enabling the safe and scalable deployment of AI solutions.
The expected impact includes:
- improved efficiency and reliability of energy systems
- enhanced integration of renewable energy sources
- increased system flexibility and optimisation capabilities
- reduced risks associated with AI deployment in critical infrastructures
- creation of replicable models for AI validation across Europe
Ultimately, the project supports the development of a more resilient, data-driven energy system.
Engreen’s role
Engreen contributes by bringing real operational environments into the project.
Specifically, Engreen is responsible for integrating the Antrodoco Renewable Energy Community into the Testing and Experimentation Facility.
This includes a multi-vector energy system combining:
- renewable generation
- storage systems
- electric mobility
- residential and industrial consumption
Engreen ensures that this infrastructure is fully operational within the project framework, enabling AI solutions to be tested against real-world conditions.
This role bridges the gap between digital modelling and physical systems, ensuring that innovation is validated where it matters.
Consortium
EnergyGuard brings together a consortium of research institutions, technology providers, and energy stakeholders across Europe, working jointly to develop and validate AI applications in real energy systems.
Coordinator
- Engineering Ingegneria Informatica S.p.A.
Partners
- RINA Consulting S.p.A.
- ENGIE Laborelec
- TECNALIA Research & Innovation
- VITO – Flemish Institute for Technological Research
- SINTEF Energy Research
- Austrian Institute of Technology (AIT)
- Fraunhofer Gesellschaft
- TNO – Netherlands Organisation for Applied Scientific Research
- EDF R&D
- Enel X S.r.l.
- TERNA S.p.A.
- E-Distribuzione S.p.A.
- European Dynamics S.A.
- Engineering D.HUB S.p.A.
- Engreen S.r.l.
Official website: https://energy-guard.eu/
