NATural Language Energy for Promoting CONSUMER Sustainable Behaviour

Risultati finali

Report on the conclusion about profiling studies
Handbook of the indirect feedback framework
Reviewed project agenda
Report of the Workshop II conclusions
Methodology for the generation of personalised energy recommendations
Load profile classification
Report of the Workshop III conclusions
EU energy consumer classification
Report on the results of the acceptance of the proposed framework
Quantifications of indirect feedback effects on national power systems
Report about the creative designers conclusions
Report of the Workshop I conclusions
Results of the implementation of the proposed user profiling methodology
Final dissemination report

Project website and social network accounts

Pubblicazioni

Toward automatic generation of linguistic advice for saving energy at home

Autori: Patricia Conde-Clemente, Jose M. Alonso, Gracian Trivino
Pubblicato in: Soft Computing, 2016, ISSN 1432-7643
Editore: Springer Verlag
DOI: 10.1007/s00500-016-2430-5

Intelligent energy feedback: Tailoring advice based on consumer values

Autori: Bent, Caitlin; Kmetty, Zoltán
Pubblicato in: eceee Summer Study Proceedings: Consumption, efficiency & limits, Numero 2, 2017
Editore: European Council for an Energy Efficient Economy (ECEEE)
DOI: 10.5281/zenodo.820510

Generation of Linguistic Advices for Saving Energy: Architecture

Autori: G. Trivino, D. Sanchez-Valdes
Pubblicato in: Chapter Theory and Practice of Natural Computing,, Numero Volume 9477, 2015, Pagina/e 83-94
Editore: Springer International Publishing

Risultati finali

Pubblicazioni

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