Imagine the power grid as a giant conversation where every solar panel and battery speaks a different language. This project builds a universal translator and a smart brain that lets these devices talk to each other in real-time. It moves the decision-making closer to the devices themselves, so the grid can handle more green energy without crashing.
Energy grids are fragmented and struggle to integrate renewable energy because devices cannot communicate. This leads to data silos and a lack of real-time intelligence, limiting the amount of green energy the grid can safely handle.
A digital system that connects IoT devices from home meters to grid operators. It includes AI tools for edge processing and a standardized data exchange layer using SAREF.
If you are a DSO dealing with unstable grids due to too many solar panels — this project developed a digital system that increases renewable energy hosting capacity. It uses edge computing to manage power flows locally, which strengthens grid resilience.
If you are a manufacturer dealing with devices that cannot talk to other brands — this project developed a standardization layer using SAREF. This allows your products to plug into a wider energy data space and offer new interoperable services.
If you are a plant manager dealing with high energy costs and rigid power usage — this project developed AI tools that unlock untapped flexibility potential. This allows you to shift energy use based on real-time grid intelligence.
Based on available project data, specific pricing or commercial costs are not listed, as the project is funded by an EU contribution of EUR 17,999,755.
Yes, the project is testing its solutions through 6 large-scale pilots in different European settings to ensure the system is scalable and transferable.
Based on available project data, specific licensing terms are not provided, but the project supports SMEs through an Open Call mechanism to foster innovation.
It uses a standardization pillar with formats like SAREF to ensure different platforms and tools can communicate and exchange data seamlessly.
The project period runs from 2024-01-01 to 2027-06-30, suggesting that fully validated results will be available by mid-2027.
The consortium is heavily industry-driven, with 33 industrial partners representing 69% of the group. This strong commercial presence, combined with 11 SMEs and 12 research/university entities across 13 countries, indicates a high likelihood of commercial adoption and practical market application rather than purely academic research.
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