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dc.contributor.authorBaamonde-Seoane, María A
dc.contributor.authorCalvo-Garrido, María-del-Carmen
dc.contributor.authorVázquez, Carlos
dc.date.accessioned2023-11-10T18:54:39Z
dc.date.available2023-11-10T18:54:39Z
dc.date.issued2023
dc.identifier.urihttp://hdl.handle.net/2183/34158
dc.descriptionCursos e Congresos, C-155es_ES
dc.description.abstract[Abstract] In this work we present one valuation method for Renewable Energy Certificates (RECs). Starting from a system of FBSDEs and using Ito lemma, we propose a mathematical model based on a semilinear PDE with two stochastic factors. The main novelty comes from the use of the Bermúdez-Moreno algorithm to deal the non-linear convective term in the PDE. This duality algorithm is based on the Yosida regularization of non-linear maximal monotone operators. The resulting linear problem is discretized by using a characteristics method combined with a second order implicit finite differences scheme. We showillustrative results of the performance of the proposed model and the numerical methodes_ES
dc.description.sponsorshipCITIC is funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS)
dc.language.isoenges_ES
dc.publisherUniversidade da Coruña, Servizo de Publicaciónses_ES
dc.relation.urihttps://doi.org/10.17979/spudc.000024.32
dc.rightsAttribution 4.0 International (CC BY 4.0)es_ES
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/deed.es*
dc.subjectEnergías renovableses_ES
dc.subjectSistema FBSDEes_ES
dc.subjectAlgoritmo de Bermúdez-Morenoes_ES
dc.titleMethod for Pricing Renewable Energy Certificateses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.startPage203es_ES
UDC.endPage211es_ES
UDC.conferenceTitleVI Congreso Xove TIC: impulsando el talento científico. Octubre, 2023, A Coruñaes_ES


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