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

Prazo de candidatura: 01/12/2026 · desde 04/08/2026

Expected Outcome: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 renewables integr