Speaker
Description
This talk will showcase novel concepts, algorithms, and applications primarily developed within European projects that leverage AI-based systems in smart grids. It will introduce three key concepts: the interdisciplinary framework for AI-driven decision systems in critical infrastructures, developed in the AI4REALNET project (https://ai4realnet.eu); the data-driven evolving models for managing power systems with high renewable energy integration, under development in the ENFIELD project (https://www.enfield-project.eu); and the Testing and Experimentation Facility (TEF) concept from the AI-EFFECT project (https://ai-effect.eu), demonstrated through a use case on reconstructing low-voltage grid topology and electrical parameters. The presentation will also highlight additional industry-relevant use cases with significant potential for foundation model applications, such as smart alarm management.
