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dc.contributor.authorHeymann, Fabianes-ES
dc.contributor.authorDueñas Martínez, Pabloes-ES
dc.date.accessioned2025-03-04T18:10:05Z-
dc.date.available2025-03-04T18:10:05Z-
dc.date.issued2024-01-30es_ES
dc.identifier.urihttp://hdl.handle.net/11531/97781-
dc.descriptionCapítulos en libroses_ES
dc.description.abstractes-ES
dc.description.abstractWe present a two-staged statistical and geospatial analysis exploring the discrepancies of household electricity tariffs across 1,913 Swiss municipalities. First, we perform a multilinear regression analysis, considering structural, socio-demographic data and energy transition indicators together with the actual regulated electricity tariffs. Secondly, a geo-statistical analysis was carried to investigate upon the spatial autocorrelation of electricity tariffs with selected model variables. Outcomes show that the strong variation in electricity tariffs cannot be fully explained by the chosen socio-demographic variables or the uptake from distributed energy resources in Swiss municipalities, calling for additional research on the currently unknown influencing factors at work that shape domestic electricity tariffs in Switzerland.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.publisherInstitute of Electrical and Electronics Engineers Power and Energy Society; Université Grenoble Alpe (Grenoble, Francia)es_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceLibro: IEEE PES International Conference on Innovative Smart Grid Technologies Europe - ISGT Europe 2023, Página inicial: 1-6, Página final:es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleWhat drives electricity tariffs in Switzerland? Two-stage statistical and geospatial analysis of structural differences across 1913 municipalitieses_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsData science, Digitalization, Electricity tariffs, Energy transition, Spatial autocorrelationen-GB
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