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A Graph-Based RAG for Energy Efficiency Question Answering

Year: 2025

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-031-97207-2_4

Authors: Riccardo Campi, Nicolò Oreste Pinciroli Vago, Mathyas Giudici, Pablo Barrachina Rodriguez-Guisado, Marco Brambilla, Piero Fraternali

Institution: Politecnico di Milano

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: green

Funders: European Commission, HORIZON EUROPE Framework Programme

Award: leveraging the energy transition by gamified learning and AI, guided by cross sectoral integrated services and digital twin models to foster accessible and human-centered energy saving experiences

OpenAlex ID: W4415080801

FWCI: 3.079

Cites: 9

Cited by: 3

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