How can AI help achieve EU’s energy goals?

This webinar will explore how AI-driven solutions can optimise energy distribution, improve grid resilience, and support the EU’s decarbonisation and sustainability goals.

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Artificial intelligence (AI) is a game-changing technology with the potential to significantly advance Europe’s energy transition. As the EU seeks to enhance energy efficiency, reduce costs, and accelerate the shift to sustainable power, AI-driven solutions could revolutionise how energy is produced, consumed, and distributed.

The Competitiveness Compass for the EU underscores the importance of AI leadership, stating that ‘Integrating AI into strategic sectors where Europe has traditionally been strong will be critical to maintaining their competitive edge.’ The Apply AI Strategy, currently under development, aims to drive new industrial applications of AI, including in the energy sector, ensuring Europe remains at the forefront of innovation.

From AI-powered smart grids that optimise energy distribution to predictive maintenance that prevents equipment failures, AI is already transforming energy management. Machine learning algorithms enhance grid resilience, improve the reliability of renewable energy, and provide real-time recommendations for efficient energy use. AI also plays a key role in energy market forecasting and trading, ultimately supporting the EU’s decarbonisation and sustainability goals.

However, AI adoption in the energy sector is not without challenges. High initial investment costs, the need for a skilled workforce, and increasing cybersecurity risks remain barriers to large-scale implementation. As the International Energy Agency (IEA) notes, while AI innovation is advancing rapidly, its full impact and adoption remain uncertain.

To fully unlock AI’s potential, collaboration between energy providers, policymakers, and AI developers is essential. A shared understanding of the most promising applications and key enablers will be critical to bridging gaps and accelerating AI-driven transformation.

Don’t miss this opportunity to gain valuable insights into how AI can help achieve the EU’s energy goals.

Introduction – Ivars Ijabs, MEP

Case Studies – Real-world applications of AI in energy
Luis Cunha, E-REDES
Carla Silva Gonçalves, INESC TEC

Panel Discussion
Vincent Berrutto, DG ENER, EC
Jesse Scott, Hertie School
François Beaude, ACER
Jorge Vasconcellos, FSR