We are proud to highlight a significant research milestone in the ENERGENIUS project, presented during the #ICWE2025 conference. Our partners from Politecnico di Milano and MIWenergía have introduced a groundbreaking AI approach that advances our mission to make smart energy choices accessible to all.
🔍 A Graph-Based RAG for Energy Efficiency Question Answering
In their latest research paper, “A Graph-Based Retrieval-Augmented Generation (RAG) for Energy Efficiency Question Answering,” the teams propose an innovative AI model that can deliver clear, personalized answers to everyday energy-related questions.
Unlike traditional systems, this model uses graph-based retrieval to organize knowledge and provide context-aware, human-centric responses — tailored to each user’s needs and behavior.
💡 What This Means for ENERGENIUS
This technology powers GURU, the intelligent assistant of the ENERGENIUS platform. With GURU, citizens can simply ask a question and immediately receive useful advice on how to improve their energy habits, save money, and reduce environmental impact — all based on trustworthy and dynamic data sources.
This work brings us one step closer to fulfilling the ENERGENIUS vision:
Empowering everyone to make smarter energy decisions, through AI, gamification, and cross-sectoral digital tools.
👏 Meet the Team Behind the Innovation
We extend our congratulations to the brilliant teams at Politecnico di Milano and MIWenergía Innovation for their impactful contribution:
Riccardo Campi, Nicolò Pinciroli, Mathyas Giudici, Pablo Barrachina Rodríguez-Guisado, Marco Brambilla, Piero Fraternali