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On the Influence of Renewable Energy Sources in Electricity Price Forecasting in the Iberian Market

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On the Influence of Renewable Energy Sources in Electricity Price Forecasting in the Iberian Market

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Nombre: Aineto;Iranzo-Sán ...
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dc.contributor.author Aineto, Diego es_ES
dc.contributor.author Iranzo-Sánchez, Javier es_ES
dc.contributor.author Lemus Zúñiga, Lenin Guillermo es_ES
dc.contributor.author Onaindia De La Rivaherrera, Eva es_ES
dc.contributor.author Urchueguía Schölzel, Javier Fermín es_ES
dc.date.accessioned 2020-12-02T04:30:49Z
dc.date.available 2020-12-02T04:30:49Z
dc.date.issued 2019-06-01 es_ES
dc.identifier.uri http://hdl.handle.net/10251/156254
dc.description.abstract [EN] The mainstream of EU policies is heading towards the conversion of the nowadays electricity consumer into the future electricity prosumer (producer and consumer) in markets in which the production of electricity will be more local, renewable and economically efficient. One key component of a local short-term and medium-term planning tool to enable actors to efficiently interact in the electric pool markets is the ability to predict and decide on forecast prices. Given the progressively more important role of renewable production in local markets, we analyze the influence of renewable energy production on the electricity price in the Iberian market through historical records. The dependencies discovered in this analysis will serve to identify the forecasts to use as explanatory variables for an electricity price forecasting model based on recurrent neural networks. The results will show the wide impact of using forecasted renewable energy production in the price forecasting. es_ES
dc.description.sponsorship This work is supported by the Spanish MINECO project TIN2017-88476-C2-1-R. D. Aineto is partially supported by the FPU16/03184. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Energies es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Electricity market es_ES
dc.subject Electricity price forecasting es_ES
dc.subject Day-ahead market es_ES
dc.subject Recurrent neural networks es_ES
dc.subject Renewable energies es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title On the Influence of Renewable Energy Sources in Electricity Price Forecasting in the Iberian Market es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/en12112082 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//FPU16%2F03184/ES/FPU16%2F03184/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-88476-C2-1-R/ES/RECONOCIMIENTO DE ACTIVIDADES Y PLANIFICACION AUTOMATICA PARA EL DISEÑO DE ASISTENTES INTELIGENTES/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Aineto, D.; Iranzo-Sánchez, J.; Lemus Zúñiga, LG.; Onaindia De La Rivaherrera, E.; Urchueguía Schölzel, JF. (2019). On the Influence of Renewable Energy Sources in Electricity Price Forecasting in the Iberian Market. Energies. 12(11):1-20. https://doi.org/10.3390/en12112082 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/en12112082 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 20 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 11 es_ES
dc.identifier.eissn 1996-1073 es_ES
dc.relation.pasarela S\388899 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Ministerio de Educación, Cultura y Deporte es_ES
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