AI and the Future of Europe’s Energy Grids: Highlights from EERA’s EUSEW 2025 Session
Share this page
At the 2025 edition of the EU Sustainable Energy Week (EUSEW), the EERA Joint Programmes on Smart Grids and Digitalization for Energy, together with the European Commission’s Joint Research Centre (JRC), co-hosted a high-impact session titled “Smarter Than Ever: How the Potential of AI is Reshaping Europe’s Energy Grids”.
Held in Brussels, the session explored how Artificial Intelligence is rapidly transforming the energy sector, offering powerful tools to modernize Europe’s electricity grids and accelerate the clean energy transition.
A Forward-Looking Dialogue on AI and Grid Innovation
The session was moderated by Luciano Martini (Director of Materials and Generation Technologies at RSE and Coordinator of EERA JP Smart Grids), and featured a high-level panel of experts from across research, policy, and industry:
Antonio De Paola – Scientific Project Officer, EC Joint Research Centre
Stavros Stamatoukos – Policy Officer for Digitalisation and AI, DG ENER
Volker Hoffmann – Research Scientist, SINTEF & EERA JP Digitalization for Energy
Luis Vale Cunha – Chair, ETIP SNET
Christiane Mann – Chair, Working Group on Grid Digitalisation, T&D Europe
Sophie Yule-Bennett – Director of Policy & Governance, Energy Unlocked
Together, the panel addressed some of the most pressing and promising aspects of AI in energy, including:
✅ The urgent need to modernise Europe's ageing grid infrastructure ✅ The potential of AI and generative AI to improve resilience, efficiency, and forecasting ✅ The importance of reliable, high-quality data to unlock the full benefits of AI ✅ Key challenges such as data access, public trust, and regulatory clarity ✅ The strategic investments and policy frameworks needed to scale AI adoption across Europe
AI as a Cornerstone of the Clean Energy Transition
Discussions underscored that AI is not just a technological opportunity—it is a strategic necessity for building smarter, more flexible, and sustainable energy systems. From predictive maintenance to consumer-centric solutions, the integration of AI can enable faster, data-driven decision-making across the entire energy value chain.
