ENERGY · Data sharing to support the training and development of AI foundation models in the energy sector

Projects are expected to contribute to all the following expected outcomes: • Effective and innovative methods for gathering, sharing and using large data sets in energy applications for the purpose of training AI models while ensuring privacy and security. • Advanced and - wherever possible - open-source AI foundation models to support the digitalisation of the energy system, through improved grid observability, forecasting of supply and demand, advanced storage and…

The quality of AI models depends strongly on the amount, quality, and representativeness of the data used for their training. Projects are expected to focus on developing, training and testing AI foundation models, using extensive data sets to accelerate the energy transition in key focus areas of the energy sector. Projects are expected to: • Building on the results of previously funded projects on the Common European energy data space[1] as well as the ongoing work within…