Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Alface, G., Ferreira, J. & Pereira, R. (2019). Electric vehicle charging process and parking guidance app. Energies. 12 (11), 1-16
Exportar Referência (IEEE) 
G. Alface et al.,  "Electric vehicle charging process and parking guidance app", in Energies, vol. 12, no. 11, pp. 1-16, 2019
Exportar BibTeX 
@article{alface2019_1714855639224,
	author = "Alface, G. and Ferreira, J. and Pereira, R.",
	title = "Electric vehicle charging process and parking guidance app",
	journal = "Energies",
	year = "2019",
	volume = "12",
	number = "11",
	doi = "10.3390/en12112123",
	pages = "1-16",
	url = "https://www.mdpi.com/1996-1073/12/11/2123"
}
Exportar RIS 
TY  - JOUR
TI  - Electric vehicle charging process and parking guidance app
T2  - Energies
VL  - 12
IS  - 11
AU  - Alface, G.
AU  - Ferreira, J.
AU  - Pereira, R.
PY  - 2019
SP  - 1-16
SN  - 1996-1073
DO  - 10.3390/en12112123
UR  - https://www.mdpi.com/1996-1073/12/11/2123
AB  - This research work presents an information system to handle the problem of real-time guidance towards free charging slot in a city using past date and prediction and collaborative algorithmssincethereisnoreal-timesystemavailabletoprovideinformationifachargingspotisfree or occupied. We explore the prediction approach using past data correlated with weather conditions. This approach will help the driver in the daily use of his electric vehicle, minimizing the problem of range anxiety, provide guidance towards charging spots with a probability value of being available forcharginginacontextfortheappandsmartcities. Thisworkhandlestheuncertaintyofthedrivers togetasuitableandvacantplaceatachargingstationbecausemissingreal-timeinformationfromthe systemandalsoduringthedrivingprocesstowardsthefreechargingspotcanbetaken. Weintroduce a framework to allow collaboration and prediction process using past related data.
ER  -