Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques
Publication date:
2023
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Journal of Computational and Applied mathematics, 433, (2023); doi:10.1016/j.cam.2023.115305
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OA ATUO23
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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
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