<?xml version="1.0" encoding="UTF-8" ?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-10-12T05:30:03Z</responseDate><request identifier="10.35097/0sabxqg1fqefdvf1" metadataPrefix="oai_dc" verb="GetRecord">https://www.radar-service.eu/oai/OAIHandler</request><GetRecord><record><header><identifier>10.35097/0sabxqg1fqefdvf1</identifier><datestamp>2026-10-09T10:42:45Z</datestamp><setSpec>radar4kit</setSpec></header><metadata><oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/"
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   <dc:identifier>https://dx.doi.org/10.35097/0sabxqg1fqefdvf1</dc:identifier>
   <dc:creator>Perau, Christian</dc:creator>
   <dc:creator>Layer, Kira</dc:creator>
   <dc:creator>Sandmeier, Thorben</dc:creator>
   <dc:creator>Fichtner, Wolf</dc:creator>
   <dc:title>Renewable Feed-In and Electrical Load of Four Storylines for the Central European System</dc:title>
   <dc:publisher>Institut für Industriebetriebslehre und Industrielle Produktion</dc:publisher>
   <dc:date>2026</dc:date>
   <dc:subject>Economics</dc:subject>
   <dc:type>dataset</dc:type>
   <dc:subject>Dataset</dc:subject>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
   <dc:description>This data set contains the hourly feed-in of renewable energy and electrical load in kW of four storylines in 2030 and 2045 developed witihin the ENSURE project. For a description of the storylines refer to https://www.kopernikus-projekte.de/aktuelles/news/ensure_phase1_storylines_fuer_die_energiewende. 

The authors gratefully acknowledge funding by the German Federal Ministry of Research, Technology and Space (BMFTR) within the Kopernikus Project ENSURE ‘New ENergy grid StructURes for the German Energiewende’.</dc:description>
   <dc:description>All data are given in kW.
The files "solar.csv" contain feed-in from rooftop and ground-mounted facilities.
The files "other_res.csv" contain feed-in from hydro and biomass generation.
The files "conv_demand.csv" contain conventional demand (industry, household, commercial, transport).
The files "flexible_demand.csv" contain demand from flexible consumers such as eletric vehicles and power-to-heat.</dc:description>
   <dc:subject>Time series</dc:subject>
   <dc:format>application/x-tar</dc:format>
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