EV Battery Degradation: A Data Mining Approach

Rodrigues, R., Albuquerque, V., Ferreira, J. C., & Dias, M. S. (2022). EV Battery Degradation: A Data Mining Approach. In A. L. Martins, J. C. Ferreira, & A. Kocian (Eds.), Intelligent Transport Systems: 5th EAI International Conference, INTSYS 2021, Proceedings (pp. 177-191). (Lecture Notes...

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Detalhes bibliográficos
Autor principal: Rodrigues, Rui (author)
Outros Autores: Albuquerque, Vitória (author), Ferreira, Joao C. (author), Dias, Miguel Sales (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2022
Assuntos:
Behavior
Charging process
Electric vehicles
Computer Networks and Communications
SDG 7 - Affordable and Clean Energy
SDG 11 - Sustainable Cities and Communities
Texto completo:http://hdl.handle.net/10362/137080
País:Portugal
Oai:oai:run.unl.pt:10362/137080
Descrição
Resumo:Rodrigues, R., Albuquerque, V., Ferreira, J. C., & Dias, M. S. (2022). EV Battery Degradation: A Data Mining Approach. In A. L. Martins, J. C. Ferreira, & A. Kocian (Eds.), Intelligent Transport Systems: 5th EAI International Conference, INTSYS 2021, Proceedings (pp. 177-191). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 426 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-97603-3_13 ------------------- Funding Information: This study was performed in the scope of ISCTE collaboration with Santos e Vale, who financed the research. Publisher Copyright: © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

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