GenAI Energy Network

With the integration of distributed generation, renewable resources, and electric transportation, Europe's energy environment is fast changing. Nevertheless, current digital infrastructures are still reactive, dispersed, and incapable of managing the complex dynamics of contemporary energy systems. For Europe's energy network, this concept suggests creating a generative AI-powered digital spine —an intelligent, self-learning platform that can manage dispersed resources across borders on its own. The system will forecast and optimize energy flows, adjust to fluctuations, and produce a real-time digital twin of the EU energy ecosystem by combining generative AI, fuzzy logic, and chaotic modeling. The project's objectives are to increase grid efficiency by 20–25%, boost stability, lower emissions, and fortify Europe's digital sovereignty. A TRL 7-8 demonstrator, an EU-wide interoperable digital twin framework, and industrial-grade fuzzy-chaotic algorithms verified by simulations and pilot tests in smart grid settings are among the results. Vivalanch and its partners will lead the commercialization, open APIs, and licensing of the results. In the end, the project will assist the Green Deal and REPowerEU goals by facilitating Europe's shift from reactive grid management to an independent, adaptable, and sustainable energy infrastructure