AI Testing and Experimentation Facility (TEF) for the energy sector – bringing technology to the market
Closed
Status as published by the data source.
Expected Outcome:
Project results are expected to contribute to all of the following expected outcomes:
• Large-scale reference testing and experimentation facilities (TEFs) will offer a combination of physical and virtual facilities, in which technology providers can get support to test their latest AI-based software and hardware technologies in operational environments.
• This will include support for full integration, testing and experimentation of latest AI-based technologies to solve issues/improve solutions in the energy sector, at national as well as at local level, including validation and demonstration.
• The TEF is open to all the sites in Europe and equipped with the right equipment (Infrastructure, computing capacity & latest AI innovations).
• The TEF is a “long term investment”. There should be a business model to guarantee self-sustainability. Scope:
The TEF is a technology infrastructure that has specific expertise and experience with testing in real conditions in the energy sector. They should build on existing infrastructures, facilities.
TEF should become common resources open to all the players, especially end users who should closely be involved. TEFs seek to support technology providers, but we also expect TEFs to include end-users of the technologies to ensure co-creation (in particular end-users can be involved in defining testing scenarios, protocols and metrics.
The TEF has the scope to then bridge the gap between lab and market due to lack of in-depth testing of AI technology in the real environment to fully validate them before the deployment.
Energy AI TEF will aim at testing AI–based technologies and solutions that have already been tested in the labs and have to be tested in operational environments.
Energy AI TEF will aim at optimising the deployment of AI-based solutions for a greener, smarter, more resilient, and more flexible energy system. For instance, it can investigate, how electricity grids respond to stimuli or shocks (e.g. RES integration, cyber-attacks, micro-grids development), making use of digital twins of the electricity grid at local level. Energy AI TEF can also target distribution grid optimisation, integrating both (decentralised) supply and demand-side, taking into account energy data coming from buildings, local storage, DER, electrical vehicles
TEFs can also support regulatory sandboxes by setting up a dialogue with competent national authorities for supervised testing and experimentation under real or close to real conditions.
The TEF can also support the development of new standards and ontologies for AI-Software for energy sector and common interoperability framework.
Energy AI TEF should give regions a further boost in attracting funding to upgrade its facilities and also attracting innovative players to collaborate with its own champions. In addition, TEF will contribute to more trustworthy AI made in Europe.
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Activities are expected to achieve TRL 6-8 by the end of the project – see General Annex B.
- Status
- Closed
- Deadline
- (time not stated)
- Opens
- Published
- Total budget
- €16,000,000
- Grant range
- €5,000,000 – €5,000,000
- Country
- European Union (EU-wide)
- Programme
- Horizon Europe (HORIZON)
- Official page
- Open at the source portal
Other calls under Horizon Europe (HORIZON)
- PV based electrification of the economy: Designing & optimising PV systems supporting industrial electrification and promoting participation in electricity markets (EUPI-PV Partnership)
- Advanced TSO control rooms to enhance grid observability, stability and resilience
- Advanced Distribution Management Systems (ADSM) for more efficient and flexible distribution grids
- Community of practice - Data-Driven Decision-Making in Energy
- Industrial processes and equipment for innovative, reliable and scalable tandem technologies (EUPI-PV Partnership)
- Integrated Approaches for Retrofitting Infrastructures with Innovative Energy Storage Technologies
- Demonstration of hydropower technologies for efficient and forward-looking refurbishment of existing hydropower plants
- Delivery of industrial CCUS clusters – Societal Readiness pilot
All calls under this programme
Similar opportunities
- Data sharing to support the training and development of AI foundation models in the energy sector
- Low power Edge AI Chips
- Preparatory phase of new ESFRI research infrastructure projects
- International cooperation in AI (IA)
- Access to research infrastructures, their resources and services: large-scale pilots for more integrated scheme across (sub)domains
- Large scale operational validation and upscaling of state-of-the-art (Generative) AI tools and models powering a next generation digital energy system
Where this came from
- Source document
- https://ec.europa.eu/info/funding-tenders/opportunities/data/topicDetails/horizon-cl5-2024-d3-01-11.json
- Document fingerprint
c507f72e1612208c(SHA-256, first 16 hex characters)- Retrieved
- First recorded here
What has changed
- url first recorded as https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-cl5-2024-d3-01-11 on
- currency first recorded as EUR on
- amount_max first recorded as 5000000.00 on
- amount_min first recorded as 5000000.00 on
- budget_total first recorded as 16000000.00 on
- deadline first recorded as 2024-01-16 on
- opens_on first recorded as 2023-09-12 on
- published_on first recorded as 2022-12-07 on
- status_basis first recorded as source_status on
- status first recorded as closed on
- title first recorded as AI Testing and Experimentation Facility (TEF) for the energy sector – bringing technology to the market on
Data source
© European Union, 2026. Source: EU Funding & Tenders Portal. Reused under Commission Decision 2011/833/EU — CC BY 4.0.
Retrieved from the source on .
The source last updated this document on Tue, 17 Feb 2026 17:23:25 GMT.
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