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Spatial high-resolution socio-energetic data for municipal energy system analyses

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dc.contributor.authorWeinand, Jann M.
dc.contributor.authorMcKenna, Russell
dc.contributor.authorMainzer, Kai
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.date.accessioned2020-08-20T12:20:00Z
dc.date.available2020-08-20T12:20:00Z
dc.date.issued2019
dc.descriptionAcknowledgements The authors gratefully acknowledge the financial support of the PhD College “Energy and Resource Efficiency” (ENRES), from the Federal State of Baden-Wuerttemberg, for funding the first author’s PhD studentship. The second author gratefully acknowledges the support of the Smart City Accelerator project (https://smartcitiesaccelerator.eu/about-smart-cities-accelerator/), which supported his contribution to this article. Furthermore, we acknowledge support by the KIT-Publication Fund of the Karlsruhe Institute of Technology. The usual disclaimer applies.en
dc.description.statusPeer revieweden
dc.format.extent6
dc.format.extent1373553
dc.identifier170739367
dc.identifierda39c42d-ff0a-4d7f-8672-6151a3b9f2ea
dc.identifier85074335463
dc.identifier31666503
dc.identifier.citationWeinand, J M, McKenna, R & Mainzer, K 2019, 'Spatial high-resolution socio-energetic data for municipal energy system analyses', Scientific Data, vol. 6, 243. https://doi.org/10.1038/s41597-019-0233-0en
dc.identifier.doi10.1038/s41597-019-0233-0
dc.identifier.issn2052-4463
dc.identifier.otherORCID: /0000-0001-6758-482X/work/79418151
dc.identifier.urihttps://hdl.handle.net/2164/14977
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85074335463&partnerID=8YFLogxKen
dc.identifier.vol6en
dc.language.isoeng
dc.relation.ispartofScientific Dataen
dc.subjectSDG 7 - Affordable and Clean Energyen
dc.subjectenergy economicsen
dc.subjectenergy modellingen
dc.subjectgeothermal energyen
dc.subjectphotovoltaicsen
dc.subjectwind energyen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subjectStatistics and Probabilityen
dc.subjectInformation Systemsen
dc.subjectEducationen
dc.subjectComputer Science Applicationsen
dc.subjectStatistics, Probability and Uncertaintyen
dc.subjectLibrary and Information Sciencesen
dc.subject.lccTAen
dc.titleSpatial high-resolution socio-energetic data for municipal energy system analysesen
dc.typeJournal articleen

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