Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques
Fecha de publicación:
2023
Versión del editor:
Citación:
Journal of Computational and Applied mathematics, 433, (2023); doi:10.1016/j.cam.2023.115305
ISSN:
Notas Locales:
OA ATUO23
Patrocinado por:
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
Colecciones
Ficheros en el ítem
Métricas
Compartir
Estadísticas de uso
Metadatos
Este ítem está sujeto a una licencia Creative Commons