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dc.contributor.authorHirsch, Christian*
dc.date.accessioned2021-02-11T13:24:13Z
dc.date.available2021-02-11T13:24:13Z
dc.date.issued2017*
dc.date.submitted2019-07-30 20:01:59*
dc.identifier34800*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/47330
dc.description.abstractThe increase in decentralized, volatile electricity generation as result of the German energy system transformation causes congestions in electricity grids. IT networking and coordination of producers and consumers in smart grids promises a solution to these problems. In this context, this work presents an energy management approach that approximates specified, aggregated power profiles. The approach uses power forecasts and flexibilities and takes network restrictions into account.*
dc.languageGerman*
dc.subjectHF5001-6182*
dc.subject.classificationbic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategyen_US
dc.subject.otherEnergiemanagement*
dc.subject.otherload forecast*
dc.subject.othersmart grid*
dc.subject.othermultikriterielle Optimierung*
dc.subject.otherenergy management architecture*
dc.subject.otherLastprognoseenergy management*
dc.subject.othermulti-objective optimization*
dc.subject.otherEnergiemanagement-Architektur*
dc.subject.otherSmart Grid*
dc.titleFahrplanbasiertes Energiemanagement in Smart Grids*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000056497*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731505518*
oapen.pagesXII, 204 p.*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.titleDissertations (Dissertationen)


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