Node Structure
EnerTEF Node encompasses an overarching ecosystem, which comprises of:
- Physical Energy grid-related assets and infrastructures, including real-life and laboratory facilities
- Digital Infrastructures, including local Data Spaces and Third-party data
- AI-based data driven Tools and methods across a variety of learning methods and tangible know-how from data professionals
- AI-based solutions developed by SMEs and startups which already have validated AI services in the lab and are interested to leverage on node services to upscale their solutions to the market
- Business & Exploitation Expertise, including market facilitators, business, legal, regulation and ethics experts, as well as links with European Digital Innovation Hubs.
Architecture
EnerTEF is designed as a flexible, federated platform that connects physical testing infrastructure, digital tools, and AI services across Europe. Its architecture supports the secure development, testing, and deployment of trustworthy AI for energy applications.
Smart data sharing and interoperability
EnerTEF connects diverse energy data sources through a common, secure data space. It ensures that systems and partners can exchange data smoothly using shared standards and APIs.
Advanced AI testing environments
The platform includes virtual workbenches and testbeds where developers can train and evaluate AI models for forecasting, optimization, control, predictive maintenance, and cybersecurity.
Real-world testing across nodes
Each EnerTEF node provides physical and virtual facilities—including buildings, grids, EVs, and digital twins—allowing AI tools to be validated in realistic energy environments.
Integrated services and user access
All tools and infrastructures are accessible through a central One-Stop-Shop Marketplace, which includes user dashboards, service catalogues, and interaction modules for registration and experimentation.
Built-in security, trust, and compliance
The architecture incorporates identity and access management, data governance, and regulatory sandboxes. This ensures that AI solutions tested in EnerTEF are safe, secure, and aligned with EU rules and ethical standards.
Roles & Steps
EnerTEF brings together a diverse set of actors, each contributing unique expertise and responsibilities to ensure the development, validation, and market readiness of trustworthy AI solutions in the energy sector through our 5-step pathway.
EnerTEF follows a structured, five-step approach to bring trustworthy AI technologies from concept to real-world deployment in the energy sector.
- AI Living Labs – Co-creation environments where stakeholders collaboratively define services, requirements, and ethical/regulatory frameworks.
- Bridging Centralized Access – A federated digital infrastructure combining a central orchestrator, experimentation tools, and an AI services marketplace.
- Seamless Federated Integration – Integration of physical and digital assets across nodes, including HPC, IoT, and regulatory sandboxes.
- Development of AI Services – Testing and validating AI solutions in real-world environments across building, grid, RES, and mobility sectors.
- Go-to-Market Strategy – Supporting certification, standardization, and business model development to scale and deploy validated AI tools.