EnerTEF | Common European-scale Energy Artificial Intelligence Federated Testing and Experimentation Facility

Summary
EnerTEF responds to the soaring demand for reliable AI products in the evolving energy sector. It pioneers a Common Federated AI Testing and Experimentation Facility to bridge the gap between demand and limited availability of rigorously tested AI products. Aligned with European Commission initiatives, EnerTEF leverages foundational projects like the Common European Energy Data Space and AIoD. Through specialized 'AI Living Labs,' EnerTEF fosters collaboration between energy stakeholders and AI developers to create adaptive models that align with evolving energy systems. 'Bridging Centralized Access' ensures data privacy and security in federated testing, adhering to EU regulations and addressing ethical concerns. 'Seamless Federated Integration' tackles integrating AI technologies across domains, enhancing cross-sector collaboration. 'Long-term Sustainability and Go-to-Market Strategy' focuses on bringing AI innovations to market. In a nutshell, EnerTEF's primary goal is to establish a Common European-scale Energy AI Federated TEF, facilitating extensive adaptation, validation, and upscale of AI tools and services across the energy sector. The project's network of five primary nodes, complemented by three satellites, ensures a comprehensive approach to testing AI-based technologies in real-world operational environments. This setup contributes to the market uptake of trustworthy AI, ensuring their readiness, accessibility, and applicability to real-world scenarios.
Unfold all
/
Fold all
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101172887
Start date: 01-11-2024
End date: 31-10-2027
Total budget - Public funding: 6 687 663,75 Euro - 5 526 007,00 Euro
Cordis data

Original description

EnerTEF responds to the soaring demand for reliable AI products in the evolving energy sector. It pioneers a Common Federated AI Testing and Experimentation Facility to bridge the gap between demand and limited availability of rigorously tested AI products. Aligned with European Commission initiatives, EnerTEF leverages foundational projects like the Common European Energy Data Space and AIoD. Through specialized 'AI Living Labs,' EnerTEF fosters collaboration between energy stakeholders and AI developers to create adaptive models that align with evolving energy systems. 'Bridging Centralized Access' ensures data privacy and security in federated testing, adhering to EU regulations and addressing ethical concerns. 'Seamless Federated Integration' tackles integrating AI technologies across domains, enhancing cross-sector collaboration. 'Long-term Sustainability and Go-to-Market Strategy' focuses on bringing AI innovations to market. In a nutshell, EnerTEF's primary goal is to establish a Common European-scale Energy AI Federated TEF, facilitating extensive adaptation, validation, and upscale of AI tools and services across the energy sector. The project's network of five primary nodes, complemented by three satellites, ensures a comprehensive approach to testing AI-based technologies in real-world operational environments. This setup contributes to the market uptake of trustworthy AI, ensuring their readiness, accessibility, and applicability to real-world scenarios.

Status

SIGNED

Call topic

HORIZON-CL5-2024-D3-01-11

Update Date

24-11-2024
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.5 Climate, Energy and Mobility
HORIZON.2.5.3 Energy Systems and Grids
HORIZON-CL5-2024-D3-01
HORIZON-CL5-2024-D3-01-11 AI Testing and Experimentation Facility (TEF) for the energy sector – bringing technology to the market