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dc.contributor.authorKeller, Corinne
dc.contributor.authorManser, Daniel
dc.contributor.authorVogler, Sandro
dc.contributor.authorWache, Holger
dc.date.accessioned2015-09-21T09:37:35Z
dc.date.available2015-09-21T09:37:35Z
dc.date.issued2015
dc.identifier.urihttp://hdl.handle.net/11654/5068
dc.identifier.urihttp://dx.doi.org/10.26041/fhnw-2787
dc.description.abstractAbstract—Several European countries are increasingly focusing on renewable energy in order to satisfy their demand. A core problem of these sources is their reliability, which means less continuously available energy is accessible. Smart grids are trying to cope with this problem by adding intelligence to the net, which tries to adjust the load according to the current produced amount of electrical energy. Many approaches try to tackle down this problem by technical means. This paper analyses existing economical approaches for smart grid environments and highlights the unique features and important properties of a broad selection of papers. Classification criteria are derived from existing literature. Afterwards, the most prominent papers are used to demonstrate how the classification scheme can be applied.
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof12th International Conference on the European Energy Market, IEEE Computer Society Press
dc.accessRightsAnonymous
dc.subject.ddc330 - Wirtschaftde
dc.titleClassification of Economic Approaches for Smart Grid
dc.type04 - Beitrag Sammelband oder Konferenzschrift
dc.spatialLos Alamitos, USA
dc.audienceScience
fhnw.publicationStatePublished
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.InventedHereYes
fhnw.PublishedSwitzerlandNo
fhnw.pagination1-5
fhnw.IsStudentsWorkno


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