INFUSE project revolves around the development of a comprehensive data integration framework within a cross-platform software ecosystem, making use of the FIWARE open-source APIs and specific data formats capable of seamlessly integrating diverse data sources with varying reporting rates (including PMUs, smart meters and other contextual sensors). Additionally, the project will focus on an intelligent edge-computing engine for processing and correlating information from various sources using data analytics enabling real-time anomaly detection, predictive maintenance, and energy control, contributing to enhanced energy transfer in emerging (low inertia) power grids. Integration with real-time digital simulation tools using data from the crossplatform showcasing developmental opportunities across various demonstration sites and scenarios, based on The Project developed digital twins (on heterogeneous hardware-in-the-loop simulation platforms: e.g. Typhoon HIL, RTDS).