AI-EFFECT

The AI-EFFECT project aims to establish a European Testing and Experimentation Facility (TEF) for the energy sector to develop, test, and validate AI applications. The project addresses the integration of Artificial Intelligence into critical energy infrastructures to optimize operations, reduce costs, enhance resilience, and support decarbonization efforts.

AI-EFFECT envisions establishing a distributed TEF across Europe, incorporating a digital platform to ensure interoperability, scalability, secure data exchange, and trustworthy testing procedures. The architecture will be decentralized and federated, allowing both direct and virtual access. The project has four primary objectives:

1. Develop strategic use cases and testing methodologies.
2. Implement a modular, interoperable, and scalable framework architecture.
3. Develop and test the end-to-end AI-EFFECT solution.
4. Establish governance and business models for long-term sustainability.

The project will develop four demonstration nodes in Denmark, the Netherlands, Portugal, and Germany, each focusing on specific use cases.

This initiative involves 19 organizations from various European countries, coordinated by EPRI Europe and including research and academia as well as distribution and transmission system operators from four European member states.

EPRI Europe participation

EPRI Europe is the project coordinator, which includes handling ethics questions, data management, and responsible AI-based systems, and implementing the dissemination and communication activities. EPRI Europe is also leading the WP5 on Governance Risks and Long-Term Sustainability of AI-EFFECT.

EPRI related programs

• Program 39 Transmission Operations
• Program 200 Distribution Operations and Planning