@prefix ocrer: <http://purl.org/net/OCRe/research.owl#> .
@prefix owl:   <http://www.w3.org/2002/07/owl#> .
@prefix scires: <http://vivoweb.org/ontology/scientific-research#> .
@prefix xsd:   <http://www.w3.org/2001/XMLSchema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix ocresd: <http://purl.org/net/OCRe/study_design.owl#> .
@prefix swo:   <http://www.ebi.ac.uk/efo/swo/> .
@prefix cito:  <http://purl.org/spar/cito/> .
@prefix geo:   <http://aims.fao.org/aos/geopolitical.owl#> .
@prefix ocresst: <http://purl.org/net/OCRe/statistics.owl#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix vivo:  <http://vivoweb.org/ontology/core#> .
@prefix event: <http://purl.org/NET/c4dm/event.owl#> .
@prefix vann:  <http://purl.org/vocab/vann/> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix c4o:   <http://purl.org/spar/c4o/> .
@prefix fabio: <http://purl.org/spar/fabio/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix thkoeln: <http://cris.nrw/hisinone#> .
@prefix vitro: <http://vitro.mannlib.cornell.edu/ns/vitro/0.7#> .
@prefix vitro-public: <http://vitro.mannlib.cornell.edu/ns/vitro/public#> .
@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix ocresp: <http://purl.org/net/OCRe/study_protocol.owl#> .
@prefix bibo:  <http://purl.org/ontology/bibo/> .
@prefix obo:   <http://purl.obolibrary.org/obo/> .
@prefix ro:    <http://purl.obolibrary.org/obo/ro.owl#> .

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<https://fis.th-koeln.de/vivo/individual/FF_001>
        <http://cris.nrw/hisinone/istForschungsfeldvon>
                <https://fis.th-koeln.de/vivo/individual/publ_11684> .

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<https://fis.th-koeln.de/vivo/individual/publ_11684>
        a                         thkoeln:Journalartikel , obo:BFO_0000001 , bibo:Document , obo:BFO_0000031 , owl:Thing , thkoeln:Publikation , obo:BFO_0000002 , obo:IAO_0000030 , thkoeln:Artikel , foaf:Document ;
        rdfs:label                "Agent-Based Analysis of Financial Crisis Management Strategies to Enhance the Energy Transition in Germany" , "RDF description of Agent-Based Analysis of Financial Crisis Management Strategies to Enhance the Energy Transition in Germany - https://fis.th-koeln.de/vivo/individual/publ_11684" ;
        thkoeln:artikelnummer     "1083" ;
        thkoeln:dokumententyp     "Wissenschaftlicher Artikel" ;
        thkoeln:peerReviewed      "true" ;
        thkoeln:sprache           "englisch" ;
        thkoeln:status            "validiert" ;
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                <https://fis.th-koeln.de/vivo/individual/FF_001> ;
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                <https://fis.th-koeln.de/vivo/individual/11000126> ;
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                <http://cris.nrw/hisinone/RessourceText> ;
        <http://cris.nrw/hisinone/hatZitat>
                <https://fis.th-koeln.de/vivo/individual/cite_11684-1> , <https://fis.th-koeln.de/vivo/individual/cite_11684-2> , <https://fis.th-koeln.de/vivo/individual/cite_11684-0> ;
        <http://cris.nrw/hisinone/hatZugangsrecht>
                <http://cris.nrw/hisinone/OpenAccess> ;
        <http://purl.org/dc/elements/1.1/date>
                "2026-04-04T06:17:52"^^xsd:dateTime ;
        <http://purl.org/dc/elements/1.1/publisher>
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        bibo:abstract             "Crises appear to be occurring with increased frequency, whether provoked directly by human actions or through indirect causes such as resource scarcity or natural disasters. Crisis management strategies are frequently implemented with the aim of mitigating the immediate impacts of these crises. Nevertheless, it is critical to also consider the long-term consequences of such strategies. This study investigates both the short- and long-term effects of various crisis management strategies during a financial crisis in relation to the energy transition. An agent-based model of the German electricity sector is developed to analyze the effects of different strategies. The findings suggest that a reduction in electricity demand by 10% achieves the most favorable outcomes, decreasing short-term electricity costs by 11% and long-term carbon dioxide emissions by 9%." ;
        bibo:doi                  "10.3390/en18051083" ;
        bibo:issue                "5" ;
        bibo:volume               "18" ;
        vitro:mostSpecificType    thkoeln:Journalartikel ;
        vivo:dateTimeValue        <http://cris.nrw/date2025> ;
        vivo:freetextKeyword      "Financial Crisis" , "Crisis Management Strategies" , "Agent-Based Modeling" , "Energy Transition" ;
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        a           owl:NamedIndividual , <http://cris.nrw/hisinone/ArtderRessource> , owl:Thing ;
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thkoeln:Journalartikel
        a           owl:Class ;
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<https://fis.th-koeln.de/vivo/individual/11000126>
        a           thkoeln:Organisationseinheit , foaf:Agent , obo:BFO_0000001 , obo:BFO_0000004 , obo:BFO_0000002 , foaf:Organization , owl:Thing ;
        rdfs:label  "Cologne Institute for Renewable Energy" ;
        <http://cris.nrw/hisinone/istOrganisationseinheitVon>
                <https://fis.th-koeln.de/vivo/individual/publ_11684> .

<https://fis.th-koeln.de/vivo/individual/aut_11684-1>
        a             obo:BFO_0000001 , obo:BFO_0000020 , vivo:Authorship , vivo:Relationship , obo:BFO_0000002 , owl:Thing ;
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        rdfs:label  "Publikationen"@de-DE , "Publications"@en-US .

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        a       thkoeln:Zitat , owl:Thing .
