Artificial intelligence (AI) is emerging as one of today’s most important technologies. Software applications and in particular AI tools combined with decentralised intelligence edge solutions have the potential not only to support scaling of energy applications quickly and accelerate efficiency and productivity but also to have a transformative impact. The workshop is to address the transformative potential of AI/GenAI for the energy sector and will discuss opportunities and challenges ahead in preparation of R&I topics under WP2025.
See the detailed agenda here:
Event agenda
To meet the Green Deal objectives in the most cost-efficient way requires an energy system that is much smarter and more interactive than it is today. Increased grids’ observability and controllability, improved forecasting of energy production from distributed energy resources, and seamless integration across different operators in actively managing their systems are all examples of new needs and challenges that require innovative digital solutions. Decarbonisation, electrification and decentralisation of the energy system require digitalisation to make it work.
Smart and digitalised energy systems are instrumental for decarbonisation of several key industrial sectors like mobility, logistics, buildings, cities, etc.
Software applications and in particular AI tools combined with decentralised intelligence edge solutions support scaling of energy applications quickly and accelerate efficiency and productivity. Generative AI is a subset of AI that involves creating new content and solutions, holds significant potential for transforming the energy sector. The speed at which this software can scale cannot be better illustrated than by the explosion of use of OpenAI’s ChatGPT which reached 100 million monthly users just two months after its initial release and became the fastest-growing consumer application ever. Applying GenAI for energy system operation may facilitate prediction of consumption and use patterns, scenario generation, strategic decision support and automated SW and application generation. This technology might enhance efficiency, optimize distributed complex resource management, and drive innovations in DER integration of assets such as renewable energy sources, smart metering, EV charging, and smart buildings..
The objective of the workshop will address the transformative potential of AI for the energy sector and will discuss opportunities and challenges related to AI/GenAI technologies and tools, use cases, grid edge orchestration and regulatory issues. The event is co-organised by DG ENERGY and DG CONNECT, as well supported by the CSA IntNet.
The workshop will be structured around 4 blocks:
a. Application of AI for the energy grid – sectoral use cases
b. Foundational AI
c. AI at the Grid Edge
d. Regulatory issues / incl. e.g. AI safety risk assessment