Efficient Anticipatory Longitudinal Control of Electric Vehicles through Machine Learning-Based Prediction of Vehicle Speeds
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| datacite.relatedItem.relatedItemIdentifier | 2624-8921 | |
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| datacite.relatedItem.title | Vehicles | |
| datacite.relatedItem.volume | 5 | |
| dc.contributor.author | Tobias Eichenlaub | |
| dc.contributor.author | Paul Heckelmann | |
| dc.contributor.author | Stephan Rinderknecht | |
| dc.date.accessioned | 2025-05-21T03:38:51Z | |
| dc.date.available | 2025-05-21T03:38:51Z | |
| dc.date.issued | 2022 | |
| dc.identifier.doi | https://doi.org/10.3390/vehicles5010001 | |
| dc.identifier.other | jz000165-0001 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/34058 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 530 | |
| dc.title | Efficient Anticipatory Longitudinal Control of Electric Vehicles through Machine Learning-Based Prediction of Vehicle Speeds | |
| dc.type | Article | |
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