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Home / Horizon Europe / HORIZON-CL5-2027-02-D3-24

Large scale operational validation and upscaling of state-of-the-art (Generative) AI tools and models powering a next generation digital energy system

Announced, not yet open · HORIZON Innovation Actions · HORIZON-CL5-2027-02-D3-24

Next cut-off
31 Mar '27
in 206 days
Per grant
€10M
the call's own average
Grants expected
2
projects that will be funded
Funding rate
70%
the rest is your own money

In context of Horizon Europe

This grant€10M
The track runs to the largest grant in Horizon Europe (€171M). The median across the 482 calls we publish is €5.3M, this one is above it.

What this call funds

Expected Outcome:

Project results are expected to contribute to all the following expected outcomes:

  • Advanced, secure frugal (energy-, resource-, data- and cost-efficient, sustainable) AI tools for real-time grid operations (including protection), market operations (if relevant) and consumer empowerment in distributed energy systems.
  • A demonstrated AI development environment integrated with the upgraded digital spine of the energy system and energy-saving consumer applications.
  • Scaled-up capabilities for learning at edge nodes and federated systems using agent-based architectures.
  • A governance framework and operating model for the Gen(AI)-powered digital spine.

Scope:

Building up on previous actions in Horizon Europe (e.g. the digital spine of the energy system in cluster 5 as well as cloud and edge continuum and AI data processing activities in cluster 4) and Digital Europe (Common Reference Framework for energy consumer applications across the EU, Common Energy Data Space), projects are expected to:

  • Validate (demo site and operational grid) and scale secure state-of-the-art specialised frugal (energy- and resource-efficient, data- and cost-efficient, locally deployed and sustainable) open-source (Generative-)AI tools and models for real-time grid (and market, if relevant) monitoring, balancing, forecasting and consumer empowerment in a distributed energy system.
  • Demonstrate an AI development environment within the enhanced digital spine of the energy system, including its digital twin, which should incorporate the functionality of the Common Reference Framework for energy saving applications.

Trimmed here, the full scope, expected outcomes and award criteria are on the official topic page ↗.

What applying costs you

ItemEstimateNote
Drafting effort6–8 weekssingle submission
Partner search4–8 weeksruns in parallel, and it is the part that slips
Your own money€4.3M30% of project cost, over the project's life
Time to first payment6–9 monthscut-off → evaluation → grant agreement

These are Bemzu's estimates from the call's structure (the number of stages and whether a consortium is required) not figures published by the Commission. Only the co-financing share is read from the call itself.

Where these conditions come from

Two kinds of row. Most are the sentence we read the condition from, quoted out of the call itself. Some say plainly that they are not a quotation but the programme's own rule for this type of action, the EU portal publishes a table of contents where the conditions should be, so for a Research and Innovation Action the rate comes from the rulebook rather than from the fiche.

ConditionQuoted from the call, or the rule behind it
Consortium sizeNot quoted from this call — Innovation Actions under the Horizon Europe rules are at least three independent legal entities from three different Member States or Associated Countries, at least one established in a Member State.
Funding rateNot quoted from this call — Innovation Actions under the Horizon Europe rules are funded at 70% of eligible costs for profit-making organisations, and 100% for non-profit legal entities — the rate shown here is the one that applies to a company.
MaturityTechnology Readiness Level - Technology readiness level expected from completed projects Activities are expected to achieve TRL 7-8 by the end of the project – see General Annex B.

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