DC FieldValueLanguage
dc.contributor.authorKrüger, Nick-
dc.contributor.authorEger, Kolja-
dc.contributor.authorRenz, Wolfgang-
dc.date.accessioned2024-12-13T16:06:03Z-
dc.date.available2024-12-13T16:06:03Z-
dc.date.issued2024-10-04-
dc.identifier.isbn979-8-3503-8649-3en_US
dc.identifier.isbn979-8-3503-8650-9en_US
dc.identifier.issn2836-4678en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12738/16735-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectCNN-LSTMen_US
dc.subjectneural networksen_US
dc.subjectseasonalityen_US
dc.subjectSMARDen_US
dc.subjecttime-series forecastingen_US
dc.subject.ddc620: Ingenieurwissenschaftenen_US
dc.titleSMARDcast : day-ahead forecasting of German electricity consumption with deep learningen
dc.typeinProceedingsen_US
dc.relation.conferenceInternational Conference on Smart Energy Systems and Technologies 2024en_US
dc.description.versionPeerRevieweden_US
local.contributorCorporate.editorInstitute of Electrical and Electronics Engineers-
tuhh.oai.showtrueen_US
tuhh.publication.instituteDepartment Informations- und Elektrotechniken_US
tuhh.publication.instituteFakultät Technik und Informatiken_US
tuhh.publisher.doi10.1109/SEST61601.2024.10694018-
tuhh.relation.ispartofseries2024 International Conference on Smart Energy Systems and Technologies (SEST)en_US
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
dc.type.casraiConference Paper-
dc.type.dinicontributionToPeriodical-
dc.type.drivercontributionToPeriodical-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
item.creatorGNDKrüger, Nick-
item.creatorGNDEger, Kolja-
item.creatorGNDRenz, Wolfgang-
item.fulltextNo Fulltext-
item.creatorOrcidKrüger, Nick-
item.creatorOrcidEger, Kolja-
item.creatorOrcidRenz, Wolfgang-
item.seriesref2024 International Conference on Smart Energy Systems and Technologies (SEST)-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.tuhhseriesid2024 International Conference on Smart Energy Systems and Technologies (SEST)-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.openairetypeinProceedings-
crisitem.author.deptDepartment Informations- und Elektrotechnik-
crisitem.author.deptDepartment Informations- und Elektrotechnik-
crisitem.author.parentorgFakultät Technik und Informatik-
crisitem.author.parentorgFakultät Technik und Informatik-
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