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dc.contributor.authorIychettira, Kaveries-ES
dc.contributor.authorLinares Llamas, Pedroes-ES
dc.contributor.authorHakvoort, Rudi A.es-ES
dc.date.accessioned2016-01-15T11:25:57Z
dc.date.available2016-01-15T11:25:57Z
dc.date.issued20/05/2015es_ES
dc.identifier.urihttp://hdl.handle.net/11531/5461
dc.descriptionCapítulos en libroses_ES
dc.description.abstractes-ES
dc.description.abstractIn this paper, we present a new lens to study harmonization of RES-E support schemes. We collect data from existing RES-E support scheme designs, break up RES-E policies into their design elements, and relate each design element or policy characteristic to policy objectives. Based on these relations, which are complex, we use the decision tree learning method in order to understand exactly how relevant each design element is to a certain policy objective. With this knowledge it is possible to understand which attributes of an RES-E scheme must be harmonized or co-ordinated at the EU level and which ones could be left to the discretion of the member states.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.publisherInstituto Superior de Engenharia de Lisboa (Lisboa, Portugal)es_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceLibro: 12th International Conference on the European Energy Market - EEM15, Página inicial: , Página final:es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleHarmonising RES-E support schemes using design elementses_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.keywordsDecision trees, design elements, harmonization, machine learning, renewable energy support schemes.en-GB


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