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%0 Conference Paper
%1 conf/ccta/PozziMT22
%A Pozzi, Andrea
%A Moura, Scott J.
%A Toti, Daniele
%B CCTA
%D 2022
%I IEEE
%K dblp
%P 785-790
%T Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics.
%U http://dblp.uni-trier.de/db/conf/ccta/ccta2022.html#PozziMT22
%@ 978-1-6654-7338-5
@inproceedings{conf/ccta/PozziMT22,
added-at = {2022-12-20T00:00:00.000+0100},
author = {Pozzi, Andrea and Moura, Scott J. and Toti, Daniele},
biburl = {https://www.bibsonomy.org/bibtex/23ee7125b70ec45fa3a8195c1560073ca/dblp},
booktitle = {CCTA},
crossref = {conf/ccta/2022},
ee = {https://doi.org/10.1109/CCTA49430.2022.9966149},
interhash = {d6609047588c0ad8abe9dcec1b802304},
intrahash = {3ee7125b70ec45fa3a8195c1560073ca},
isbn = {978-1-6654-7338-5},
keywords = {dblp},
pages = {785-790},
publisher = {IEEE},
timestamp = {2024-04-09T12:30:02.000+0200},
title = {Deep Learning-Based Predictive Control for the Optimal Charging of a Lithium-Ion Battery with Electrochemical Dynamics.},
url = {http://dblp.uni-trier.de/db/conf/ccta/ccta2022.html#PozziMT22},
year = 2022
}