Lantern Grants

Data sharing to support the training and development of AI foundation models in the energy sector

Funder
European Commission · Horizon Europe
Award amount
Up to €10,000,000
Deadline
December 1, 2026
Eligible countries
European Union, United Kingdom, Norway, Iceland, Switzerland, Israel, Global

Summary

Open EU call topic HORIZON-CL5-2026-11-D3-23 · HORIZON Innovation Actions. Part of call HORIZON-CL5-2026-11: ENERGY. Next deadline 2026-12-01. Topic page: https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/HORIZON-CL5-2026-11-D3-23

Expected Outcome: Projects are expected to contribute to all the following expected outcomes: - Effective and innovative methods for gathering, sharing and using large data sets in energy applications for the purpose of training AI models while ensuring privacy and security. - Advanced and - wherever possible - open-source AI foundation models to support the digitalisation of the energy system, through improved grid observability, forecasting of supply and demand, advanced storage and renewables integration, demand side flexibility and energy efficiency. - Enhanced cooperation, knowledge sharing and interoperability among energy system actors for secure and seamless data exchange. - Advanced methodologies for AI model development ensuring that the results are FAIR (Findable, Accessible, Interoperable, Reusable) beyond the project ending, open source and accommodating for technology evolution.

Scope: The quality of AI models depends strongly on the amount, quality, and representativeness of the data used for their training. Projects are expected to focus on developing, training and testing AI foundation models, using extensive data sets to accelerate the energy transition in key focus areas of the energy sector. Projects are expected to: - Building on the results of previously funded projects on the Common European energy data space[1] as well as the ongoing work within the Data 4 Energy expert group, projects are expected to demonstrate innovative methods and data governance strategies for sharing data among various energy actors. Projects are expected to demonstrate that they have access to large relevant datasets at the time of submitting the proposal. - Projects are expected to develop…

Summary as listed by the funder. Always read the full announcement for eligibility, limits and how to apply.

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What European Union reviewers look for

  • Most Horizon Europe calls score three criteria (the ERC uses excellence alone). Excellence: clarity and ambition of the objectives, and the soundness of the methodology.
  • Impact: credible pathways to the expected outcomes, and measures to communicate and exploit results.
  • Quality and efficiency of implementation: the work plan, resources and the consortium's capacity.

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