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dc.contributor.authorWeinand, Jann M.
dc.contributor.authorMcKenna, Russell
dc.contributor.authorMainzer, Kai
dc.date.accessioned2020-08-20T12:20:00Z
dc.date.available2020-08-20T12:20:00Z
dc.date.issued2019
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.issn2052-4463
dc.identifier.otherPURE: 170739367
dc.identifier.otherPURE UUID: da39c42d-ff0a-4d7f-8672-6151a3b9f2ea
dc.identifier.otherScopus: 85074335463
dc.identifier.otherPubMed: 31666503
dc.identifier.otherORCID: /0000-0001-6758-482X/work/79418151
dc.identifier.urihttps://hdl.handle.net/2164/14977
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.format.extent6
dc.language.isoeng
dc.relation.ispartofScientific Dataen
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en
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
dc.contributor.institutionUniversity of Aberdeen.Engineeringen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1038/s41597-019-0233-0
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85074335463&partnerID=8YFLogxKen


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