Grantia

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

This grant supports the operational validation and upscaling of state-of-the-art generative AI tools and models to enhance real-time grid operations, market functions, and consumer empowerment in distributed energy systems. It targets consortia developing secure, frugal, and open-source AI solutions integrated with Europe’s digital energy infrastructure.

Details

Agency

EU Commission

Status

Open

Language

English

Funding Type

Grant

Funding Amount

Up to 43.0M €

Deadline

2027-03-31

Open Date

2026-12-03

Overview

This grant supports the operational validation and upscaling of state-of-the-art generative AI tools and models to enhance real-time grid operations, market functions, and consumer empowerment in distributed energy systems. It targets consortia developing secure, frugal, and open-source AI solutions integrated with Europe’s digital energy infrastructure.

Who Can Apply

Eligible applicants include consortia of legal entities (e.g., research institutions, SMEs, industry, public bodies) established in EU Member States, Horizon Europe Associated Countries, or other eligible non-EU countries with specific funding provisions. Entities directly or indirectly controlled by China are excluded.

Funding Details

  • Maximum grant amount: €43,000,000
  • Funding rate: Not specified (standard Horizon Europe rates likely apply, e.g., 70% for for-profit entities, 100% for non-profits)
  • Co-funding: Not explicitly required but may apply based on Horizon Europe rules.

What Is Funded

  • Validation and scaling of secure, frugal (energy-, resource-, data-, and cost-efficient) open-source generative AI tools for real-time grid monitoring, balancing, forecasting, and consumer empowerment.
  • Development of an AI environment within the enhanced digital spine of the energy system, including digital twins and integration with the Common Reference Framework for energy-saving applications.
  • Prototyping and validation of machine learning at edge nodes and federated systems using agent-based architectures.
  • Compatibility with the Common European Energy Data Space, EU AI policies, and digitalisation initiatives.
  • Collaboration with European AI factories, gigafactories, and standards organisations (e.g., CEN-CENELEC, ETSI).

Technology / Maturity Requirements

  • Technology Readiness Level (TRL): 4 to 6 (validation in lab and relevant environments to demonstration in operational settings).

Key Dates

  • Open date: 2026-12-02
  • Deadline: 2027-03-30

Application Process (High-Level)

  • Process: Single-stage submission via the Funding & Tenders Portal.
  • Evaluation: Based on Horizon Europe criteria (excellence, impact, implementation), with an indicative timeline for evaluation and grant agreement provided in the Work Programme Annexes.

Post-Award Obligations

  • Contribution to the BRIDGE initiative and participation in its activities.
  • Compliance with Horizon Europe reporting requirements, including potential objections to ownership transfers or exclusive licensing of results for up to 4 years post-project.
  • Dissemination of project outcomes in line with EU policies and standards.

Geographic Scope & Language

  • Eligible countries: Austria, Belgium, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Norway, Iceland, United Kingdom, Switzerland.
  • Application language: English.

Notes

  • Projects must use Copernicus and/or Galileo/EGNOS for satellite-based data if applicable.
  • Collaboration with European standards organisations and open-source communities is expected.
  • Proposals must align with EU AI and digital energy policies, including the EU Digitalisation of the Energy Sector initiatives.