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Data-driven state-of-charge prediction of a storage cell using abc/gbrt, abc/mlp and lasso machine Learning techniques
dc.contributor.author | Álvarez Antón, Juan Carlos | |
dc.contributor.author | García Nieto, Paulino José | |
dc.contributor.author | García Gonzalo, María Esperanza | |
dc.contributor.author | González Vega, Manuela | |
dc.contributor.author | Blanco Viejo, Cecilio José | |
dc.date.accessioned | 2023-10-25T08:55:30Z | |
dc.date.available | 2023-10-25T08:55:30Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Journal of Computational and Applied mathematics, 433, (2023); doi:10.1016/j.cam.2023.115305 | |
dc.identifier.issn | 0377-0427 | |
dc.identifier.uri | https://hdl.handle.net/10651/70010 | |
dc.description.sponsorship | The authors wish to acknowledge the computational support provided by the Department of Mathematics at the University of Oviedo. Furthermore, this work was supported by the Spanish State Research Agency (Ministry of Science and Innovation) under Grant MCI-20-PID2019-110955RB-I00 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Computational and Applied mathematics | |
dc.rights | © 2023 The Author(s). | |
dc.rights | CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159354065&doi=10.1016%2fj.cam.2023.115305&partnerID=40&md5=80f3829008c4ab28c31bf5a1af325f1e | |
dc.title | Data-driven state-of-charge prediction of a storage cell using abc/gbrt, abc/mlp and lasso machine Learning techniques | |
dc.type | journal article | |
dc.identifier.doi | 10.1016/j.cam.2023.115305 | |
dc.local.notes | OA ATUO23 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110955RB-I00/ES/NUEVAS TECNOLOGIAS DE BATERIA Y METODOS DE GESTION PARA UN TRANSPORTE PUBLICO URBANO EFICIENTE Y SOSTENIBLE/ | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.cam.2023.115305 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | VoR |
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