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dc.contributor.authorDurante, Fabrizio
dc.contributor.authorGianfreda, Angelica
dc.contributor.authorRavazzolo, Francesco
dc.contributor.authorRossini, Luca
dc.date.accessioned2023-09-26T08:09:31Z
dc.date.available2023-09-26T08:09:31Z
dc.date.created2022-05-11T14:01:04Z
dc.date.issued2022
dc.identifier.citationInformation Sciences. 2022, 590 74-89.en_US
dc.identifier.issn0020-0255
dc.identifier.urihttps://hdl.handle.net/11250/3091945
dc.description.abstractThis paper examines the dependence between electricity prices, demand, and renewable energy sources by means of a multivariate copula model while studying Germany, the widest studied market in Europe. The inter-dependencies are investigated in-depth and monitored over time, with particular emphasis on the tail behavior. To this end, suitable tail dependence measures are introduced to take into account a multivariate extreme scenario appropriately identified through the Kendall’s distribution function. The empirical evidence demonstrates a strong association between electricity prices, renewable energy sources, and demand within a day and over the studied years. Hence, this analysis provides guidance for further and different incentives for promoting green energy generation while considering the time-varying dependencies of the involved variables.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectCopulaen_US
dc.subjectElectricityen_US
dc.subjectKendall distributionen_US
dc.subjectSolar and Winden_US
dc.subjectPoweren_US
dc.subjectTail Dependenceen_US
dc.titleA multivariate dependence analysis for electricity prices, demand and renewable energy sourcesen_US
dc.title.alternativeA multivariate dependence analysis for electricity prices, demand and renewable energy sourcesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionsubmittedVersionen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber74-89en_US
dc.source.volume590en_US
dc.source.journalInformation Sciencesen_US
dc.identifier.doi10.1016/j.ins.2022.01.003
dc.identifier.cristin2023617
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.fulltextpreprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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