Horizon AI Digital Energy System
Funds two €10M innovation projects that bring secure, frugal AI from the lab into real-time grid operations and consumer energy tools.
Distributed energy systems need fast, secure and efficient intelligence for grid monitoring, balancing, forecasting and consumer decisions. This scheduled Horizon Europe Innovation Action funds two €10 million projects to validate state-of-the-art and generative AI tools in operational grids and scale them into a next-generation digital energy system.
Projects should deploy frugal, open-source an…
Validate and scale secure, open-source, frugal AI tools and models for real-time grid and relevant market operations and consumer empowerment in distributed energy systems. Projects demonstrate an AI development environment and digital twin integrated with the upgraded digital spine, edge-node and federated swarm learning in agent-based architectures, and compatibility with the Common European Energy Data Space and Common Reference Framework for energy-saving applications. The work reaches TRL 7–8, uses European AI infrastructure where relevant, contributes to standards, open-source communities and BRIDGE, and defines governance for a Gen(AI)-powered digital spine.
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Guides for this application
All guides →Horizon Europe Grants for Startups: A Founder Guide
A practical guide to Horizon Europe grants for startups, including EIC, consortia, eligibility, Funding & Tenders, TRL, budgets, and EU strategy.
BudgetGrant Financials and Co-Funding Evidence: Examples for Startup Applications
See examples of grant financials, match funding evidence, co-funding tables, accountant letters, investor commitments, and budget-to-work-plan checks.
Start hereTRL Levels Explained for Deeptech Founders
Learn what TRL levels mean, how to estimate technology readiness, and how TRL affects grants, EIC Accelerator, SBIR/STTR, funding stage, and application evidence.
Write proposalHow to Write a Grant Proposal Reviewers Can Score
Learn how to write a grant proposal around reviewer criteria, evidence, work packages, budget logic, and commercialization for deeptech and R&D funding.
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