Summary
The project aims to create a pan-European federated energy data ecosystem and an innovative Energy AI Gym for the development, training, testing and validation of AI Foundation Models specifically tailored to the energy sector.
The initiative will combine interoperable energy data spaces, advanced AI and HPC infrastructures, and real-world validation environments across Europe. The objective is to develop reusable and transferable AI models capable of supporting renewable energy integration, flexibility, grid management, sector coupling, electric mobility and industrial energy optimisation.
The project will validate the approach through five complementary European pilots in Sweden, France, Finland, Spain/Iberia and the Netherlands, covering different energy systems and demonstrating the transferability of AI Foundation Models between countries, sectors and operational environments.
Description
Project Objective:
Develop and demonstrate a European federated energy data and AI infrastructure enabling organisations to securely access and combine interoperable energy datasets and use them to train, test, validate and transfer AI Foundation Models across different energy applications and European environments.
The project seeks to accelerate the adoption of trustworthy and reusable AI solutions in the European energy sector while reducing dependence on isolated datasets and site-specific AI models.
The consortium currently has:
Gaia-X AISBL; International Data Spaces Association (IDSA); Fraunhofer IESE; Fraunhofer AISEC; CIEMAT – Scientific Computing Department; DLR Solar Research Institute; Secartys; Awayter; IRES Innovation; Viridiance (Technical University of Crete spin-off); Trialog; ENGIE Lab CRIGEN; Barcelona Supercomputing Center (BSC); University of Vaasa; LUMI AI Factory; FinFlex; EDP; INESC TEC / Smart Energy Lab; RISE Sweden – Energy Conversion Unit; Abykys; City of Helmond; University of Amsterdam.
1. Sweden – Heavy-duty mobility & charging
Development of a multimodal AI Foundation Model for heavy-duty charging forecasting, network-aware scheduling and flexibility. The pilot will use interoperable mobility and grid operational datasets and demonstrate model transfer to new fleets, depots and grid environments with reduced site-specific training.
Partners: RISE (pilot coordinator), Volvo Trucks (TBC), Swedish DSO (TBC).
2. France – Industrial flexibility & green molecules
Development of an Industrial Multi-Energy AI Foundation Model for flexibility and green molecules, addressing hydrogen/P2X, industrial flexible processes, cross-vector optimisation and transferable industrial energy models.
Partners: ENGIE Lab CRIGEN, SmartSide, Trialog, GreenAlp (DSO).
3. Finland – Sector coupling & flexibility markets
Development of a Sector-Coupled Flexible Energy System AI Foundation Model. Finland will act as a model composition and transfer demonstrator, consuming models developed in other pilots and validating them within an operational flexibility-market and energy-system environment.
Partners: University of Vaasa, FinFlex, Fingrid (TBC), LUMI HPC / AI Factory.
4. Spain / Iberia – Solar energy, grid & flexibility
Development of a Solar-to-Grid AI Foundation Model for renewable intelligence and flexibility. Spain will provide the main solar pre-training and validation environment, potentially complemented by Portugal as a cross-country model adaptation and flexibility demonstrator.
Partners: BSC, CIEMAT (pilot coordinator), Secartys, Awayter, DLR Solar Research Institute, Smart Energy Lab / INESC TEC and EDP.
5. Netherlands – Urban grids
Development of an Urban Grid Capacity AI Foundation Model, combining urban-development pipelines, industrial parks and potentially mobility data to forecast future grid congestion and assess flexibility and connection scenarios. The City of Helmond will provide the living-lab environment.
Partners: Abykys, University of Amsterdam, City of Helmond.
Final pilot focus: TBC with Dutch partners.
Profile of companies with fit:
• Solar PV and renewable energy: monitoring, forecasting, O&M, distributed generation and photovoltaic plants.
• Smart grids and flexibility: energy management, DER, storage, aggregation, demand response and network optimization.
• Energy management: EMS, consumption optimization, industrial flexibility and control systems.
• Data providers / pilot sites: companies capable of providing real energy datasets, installations or use cases for model training and validation.
Should you have any questions, feel free to contact Mar Coromina mcoromina@secartys.org | 623 35 59 80, and we'll do our best to help you.
