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dc.contributor.authorIngebrigtsen, Karoline
dc.contributor.authorHoffmann, Volker
dc.date.accessioned2021-02-16T10:47:42Z
dc.date.available2021-02-16T10:47:42Z
dc.date.created2020-11-11T09:12:23Z
dc.date.issued2020
dc.identifier.isbn978-82-14-06508-4
dc.identifier.issn1504-9795
dc.identifier.urihttps://hdl.handle.net/11250/2728326
dc.description.abstractAlmost every household in Norway has a smart electricity meter installed. The advanced functionality of the meters and the large amounts of data transmitted from them have the potential to contribute to more than just a more accurate billing of customers. This report is a result from the ENERGYTICS project, which aims at exploring this potential. This state-of-the-art includes a description of experiences and technical advances regarding deployment of smart meters in the Scandinavian countries and Finland and possible benefits and advantages of deploying data science on data from the electricity grid. Different data sources in the distribution electricity grid and relevant data science techniques are presented. The focus of the state-of-the-art is on two applications of data science: clustering of customers and disaggregation of total electricity consumption into the consumption of individual loads.en_US
dc.description.abstractApplications of Big Data and Data Science in the Electricity Distribution Grid - State-of-the-arten_US
dc.language.isoengen_US
dc.publisherSINTEF Energi ASen_US
dc.relation.ispartofSINTEF Rapport
dc.relation.ispartofseriesSINTEF Rapport;
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.subjectSmart electricity meteren_US
dc.subjectAMSen_US
dc.subjectBig dataen_US
dc.subjectData scienceen_US
dc.subjectDistribution griden_US
dc.titleApplications of Big Data and Data Science in the Electricity Distribution Grid - State-of-the-arten_US
dc.typeResearch reporten_US
dc.description.versionpublishedVersionen_US
dc.rights.holderSINTEF Energi ASen_US
dc.source.pagenumber47en_US
dc.source.issue2020:00530en_US
dc.identifier.cristin1846779
dc.relation.projectNorges forskningsråd: 269377en_US
cristin.ispublishedtrue
cristin.fulltextoriginal


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Navngivelse-Ikkekommersiell 4.0 Internasjonal
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