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dc.contributor.authorBerg, Kjersti
dc.contributor.authorLöschenbrand, Markus
dc.date.accessioned2022-03-09T08:55:37Z
dc.date.available2022-03-09T08:55:37Z
dc.date.created2021-12-21T13:34:08Z
dc.date.issued2021
dc.identifier.issn2352-3409
dc.identifier.urihttps://hdl.handle.net/11250/2983897
dc.description.abstractThis paper presents a data set designed to represent Norwegian energy communities. As such it includes household consumption data collected from smart meter measurements and divided into consumer groups, appliance consumption data collected from Norwegian households, electric vehicle data regarding charging patterns, simulated photovoltaic power generation data based on temperature and irradiance data sets and wholesale electricity prices. All data sets are further filtered by season, weekday/weekend and time segment, and then fitted to either a normal, exponential or log-normal distribution. The reason for this specific segmentation is the intention to provide a suitable data set for case studies and experiments on energy communities that consider uncertainty, a main challenge to be overcome in the practical implementation of energy community projects. In addition to this filtered version, the previously unpublished raw data sets on household consumption and photovoltaic power generation are also provided.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA data set of a Norwegian energy communityen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderThe Authorsen_US
dc.source.volume40en_US
dc.source.journalData in Briefen_US
dc.identifier.doi10.1016/j.dib.2021.107683
dc.identifier.cristin1971067
dc.relation.projectNorges forskningsråd: 308833en_US
dc.source.articlenumber107683en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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