Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/28621
Autoria: Mataloto, B.
Ferreira, J.
Resende, R.
Data: 2023
Título próprio: Long term energy savings through user behaviour modeling in smart homes
Título da revista: IEEE Access
Volume: 11
Paginação: 44544 - 44558
Referência bibliográfica: Mataloto, B., Ferreira, J., & Resende, R. (2023). Long term energy savings through user behaviour modeling in smart homes. IEEE Access, 11, 44544 - 44558. http://dx.doi.org/10.1109/ACCESS.2023.3272888
ISSN: 2169-3536
DOI (Digital Object Identifier): 10.1109/ACCESS.2023.3272888
Palavras-chave: IoT
Home energy consumption
Long-term engagement
User behavior
Sustainability
Resumo: The Internet of Things (IoT) has enabled real-time monitoring of energy consumption in smart homes through sensors embedded in the surrounding environment. In the post-pandemic world, domestic energy management has gained importance due to increased work-from-home consumption, making data collection in a smart home a relevant IoT application with many potential energy savings. However, this information is difficult for most users to understand, and existing monitoring systems’ savings results degrade over time. To address these challenges, this study presents a novel approach for domestic energy consumption, production, and comfort perception using color-based dashboards enhanced for user feedback interaction. The approach includes the management of in-home appliances and comfort levels according to user preferences to attain long-term energy savings. The approach includes multiple appealing strategies such as 3D representation, mobile connectivity, utility integration, and dynamic information, to increase long-term engagement and provides quantitative data on energy savings achieved for one year, where the average energy consumption was reduced by 19%. It was found that the approach sustained user engagement over time, with users actively participating in energy conservation efforts. A community survey with 208 participants was also developed and studied where 69% of the enquired considered our approach more attractive than existing market solutions, and 79% considered it more useful than existing solutions. Regarding the real-time information presented on our approach, 81% of the participants strongly or totally agree that it can change users’ behaviors.
Arbitragem científica: yes
Acesso: Acesso Aberto
Aparece nas coleções:ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

Ficheiros deste registo:
Ficheiro TamanhoFormato 
article_95833.pdf2,01 MBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.