Skip to main content
Ir a la página de inicio de la Comisión Europea (se abrirá en una nueva ventana)
español es
CORDIS - Resultados de investigaciones de la UE
CORDIS

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

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

User Journey Mapping and Experience Design (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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.

Report on Engagement_Communication and Dissemination strategy_material_tools and campaigns v1 (se abrirá en una nueva ventana)

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.

Knowledge arenas exploration (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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 (se abrirá en una nueva ventana)

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

Publicaciones

Enhancing Human-AI Collaboration through a Conversational Agent for Energy Efficiency (se abrirá en una nueva ventana)

Autores: Campi, Riccardo; Giudici, Mathyas; Pinciroli Vago, Nicolò Oreste; Brambilla, Marco; FRATERNALI, PIERO
Publicado en: Proceedings of the 2025 AAAI Spring Symposium Series, Edición Vol. 5 No. 1, 2025
Editor: 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 (se abrirá en una nueva ventana)

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

A Graph-Based RAG for Energy Efficiency Question Answering (se abrirá en una nueva ventana)

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

Persuasive Conversational Agents for Environmental Sustainability: A Survey (se abrirá en una nueva ventana)

Autores: Giudici, Mathyas; Crovari, Pietro; GARZOTTO, Franca
Publicado en: ACM Computing Surveys, Edición Vol. 58, No. 6, 2025, ISSN 1557-7341
Editor: ACM
DOI: 10.1145/3774751

Energies (se abrirá en una nueva ventana)

Autores: Roman Rabenseifer; Martina Kalivodová; Yevhen Kononets; Nataliia Mahas; Katarína Minarovičová; Robert Provazník; Maryna Bordun; Svitlana Shekhorkina; Mykola Savytskyi; Oleksandr Savytskyi; Volody
Publicado en: Energies, Edición Vol. 18, No. 5, 2025, ISSN 1996-1073
Editor: MDPI
DOI: 10.3390/EN18051166

International Journal of Forecasting (se abrirá en una nueva ventana)

Autores: Damato, Stefano; Azzimonti, Dario; corani, giorgio
Publicado en: International Journal of Forecasting, 2025, ISSN 0169-2070
Editor: Elsevier
DOI: 10.1016/J.IJFORECAST.2025.10.001

BayesReconPy: A Python package for forecast reconciliation (se abrirá en una nueva ventana)

Autores: Biswas, Anubhab; Nespoli, Lorenzo; Azzimonti, Dario; Zambon, Lorenzo; Rubattu, Nicolò; corani, giorgio
Publicado en: Journal of Open Source Software, Edición 8336, 2025, ISSN 2475-9066
Editor: Journal of Open Source Software
DOI: 10.21105/JOSS.0833

Buscando datos de OpenAIRE...

Se ha producido un error en la búsqueda de datos de OpenAIRE

No hay resultados disponibles

Mi folleto 0 0