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

Projektinformationen

ENERGENIUS

ID Finanzhilfevereinbarung: 101160720

DOI

10.3030/101160720

EK-Unterschriftsdatum 27 Mai 2024

Startdatum 1 September 2024

Enddatum 29 Februar 2028

Finanziert unter

• Climate, Energy and Mobility

Gesamtkosten

€ 5 214 701,83

EU-Beitrag

€ 3 999 783,88

Koordiniert durch

MY ENERGIA ONER SL
Spain

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Other (5)

User Journey Mapping and Experience Design

Design of a user-centric and omni-channel experience within the ENERGENIUS ecosystem, according task 2.3. Indicator of satisfactory completion: Document with the user experience map and description of experience, fully completed and revised.

Behavioural modelling_predictive modelling tools and models

Report with procedure to process and analyse all the data related to buildings and their occupants which have been collected. Connected to task 3.1 and 3.3. Indicator of satisfactory completion: Complete document with the methodology to process and analyse the data, revised by partners

ENERGENIUS Efficient and comfort Living Blueprint v1

First version of the document and other resources describing design, development and integration, into the ENERGENIUS ecosystem 1) the smartwatch device and 2) the efficient nutrition and healthy living functionality. Associated to task 5.3. First version. Indicator of satisfactory completion: Document and other resopurces completed and revsed by partners, with the information available at month 18.

ENERGENIUS Community - Stakeholder engagement plan

Plan for contacting and engaging the ENERGENIUS community in pilots. Associated to task 2.2. Indicator od satisfactory completion: Detailed document with the plan completed and revised within consortium.

Integrated Scan to Digital Twin Model tool v1

Solution that enables the creation of digital twin models for household and their energy appliances using 3D scanning technology, associated with Task 4.3. First version. Indicator of satisfactory completion: Document describing the Scan To Digital Twin solution, completed and revised, with the information available at month 18.

Websites, patent fillings, videos etc. (1)

Report on Engagement_Communication and Dissemination strategy_material_tools and campaigns v1

Document and other resources describing, desing, media, actions and production and dissemination materials (online and offline) to engage and communicate to audience. First version. Indicator of satisfactory completion: Document completed, and revised, with the infroamtion available at month 6.

Documents, reports (3)

Knowledge arenas exploration

This report is a comprehensive literature review within each identified knowledge arena, being associated with task 2.5. Indicator of satisfactory completion: Report with complete revision of the state of the art.

Stakeholder profiling report

This report identifies and profiles each of the stakeholders of the pilot regions. Associated to task 2.1. Indicator of satisfactory completion: Final verion of the report completed and revised

Pilot Use cases - Requirements and Specifications

Report with requirements and specifications of pilot use cases, associated to task 6.1. Indicator of satisfactory completion: Report completed and revised.

Veröffentlichungen

Conference proceedings (3)

Enhancing Human-AI Collaboration through a Conversational Agent for Energy Efficiency

Autoren: Campi, Riccardo; Giudici, Mathyas; Pinciroli Vago, Nicolò Oreste; Brambilla, Marco; FRATERNALI, PIERO
Veröffentlicht in: Proceedings of the 2025 AAAI Spring Symposium Series, Ausgabe Vol. 5 No. 1, 2025
Herausgeber: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.5281/ZENODO.17988326

Use of Digital Twin and Gamification to Empower Citizens Enabling a Smooth Energy Transition and Promoting Sustainable Behaviours with ENERGENIUS

Autoren: Barrachina Rodriguez-Guisado, P., Konstantinos Arvanitis, Smyrnov, A., Babenko, M., & Bordun, M
Veröffentlicht in: Book of Abstracts – 20th International Scientific and Practical Conference “Innovative Technologies in Construction, Civil Engineering and Architecture”, 2025
Herausgeber: Prydniprovska State Academy of Civil Engineering and Architecture
DOI: 10.5281/ZENODO.18154154

A Graph-Based RAG for Energy Efficiency Question Answering

Autoren: Campi, Riccardo; Pinciroli Vago, Nicolò Oreste; Giudici, Mathyas; Barrachina Rodriguez-Guisado, Pablo; Brambilla, Marco; FRATERNALI, PIERO
Veröffentlicht in: Lecture Notes in Computer Science (LNCS), Ausgabe Volume 15749, 2025, ISBN 978-3-031-97207-2
Herausgeber: Springer
DOI: 10.5281/ZENODO.17988066

Peer reviewed articles (4)

Persuasive Conversational Agents for Environmental Sustainability: A Survey

Autoren: Giudici, Mathyas; Crovari, Pietro; GARZOTTO, Franca
Veröffentlicht in: ACM Computing Surveys, Ausgabe Vol. 58, No. 6, 2025, ISSN 1557-7341
Herausgeber: ACM
DOI: 10.1145/3774751

Energies

Autoren: Roman Rabenseifer; Martina Kalivodová; Yevhen Kononets; Nataliia Mahas; Katarína Minarovičová; Robert Provazník; Maryna Bordun; Svitlana Shekhorkina; Mykola Savytskyi; Oleksandr Savytskyi; Volody
Veröffentlicht in: Energies, Ausgabe Vol. 18, No. 5, 2025, ISSN 1996-1073
Herausgeber: MDPI
DOI: 10.3390/EN18051166

International Journal of Forecasting

Autoren: Damato, Stefano; Azzimonti, Dario; corani, giorgio
Veröffentlicht in: International Journal of Forecasting, 2025, ISSN 0169-2070
Herausgeber: Elsevier
DOI: 10.1016/J.IJFORECAST.2025.10.001

BayesReconPy: A Python package for forecast reconciliation

Autoren: Biswas, Anubhab; Nespoli, Lorenzo; Azzimonti, Dario; Zambon, Lorenzo; Rubattu, Nicolò; corani, giorgio
Veröffentlicht in: Journal of Open Source Software, Ausgabe 8336, 2025, ISSN 2475-9066
Herausgeber: Journal of Open Source Software
DOI: 10.21105/JOSS.0833