Machine Learning-Based Control for Fuel Cell Hybrid Buses: From Average Load Power Prediction to Energy Management

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datacite.relatedItem.firstPage1365
datacite.relatedItem.issue4
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2624-8921
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleVehicles
datacite.relatedItem.volume4
dc.contributor.authorHujun Peng
dc.contributor.authorJianxiang Li
dc.contributor.authorKai Deng
dc.contributor.authorKay Hameyer
dc.date.accessioned2025-05-21T03:38:31Z
dc.date.available2025-05-21T03:38:31Z
dc.date.issued2022
dc.identifier.doihttps://doi.org/10.3390/vehicles4040072
dc.identifier.otherjz000164-0072
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/34042
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc530
dc.titleMachine Learning-Based Control for Fuel Cell Hybrid Buses: From Average Load Power Prediction to Energy Management
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/34043
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