Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/54999
DC FieldValueLanguage
dc.contributor.authorMarrero Vera, Samuelen_US
dc.contributor.authorEvora Gomez,Joseen_US
dc.contributor.authorHernández Cabrera, José Juanen_US
dc.date.accessioned2019-02-18T16:04:43Z-
dc.date.available2019-02-18T16:04:43Z-
dc.date.issued2018en_US
dc.identifier.isbn9789492859051en_US
dc.identifier.urihttp://hdl.handle.net/10553/54999-
dc.description.abstractPower systems, especially those which are small and isolated, are working more and more to the limits of their capacity. Thus there is a need for new structures that give them more flexibility. To this end, the Spanish Transmission System Operator (TSO), Red Electrica de España (REE), in collaboration with various research centres, is working on solutions to increase the flexibility of isolated power systems. The evaluation of these solutions, based in new devices and operational strategies, requires new analysis tools. This article presents one such tool for integrating and comparing simulation and operation results for the system using a solution based in Big Data.en_US
dc.languageengen_US
dc.relation.ispartof32nd Annual European Simulation and Modelling Conference 2018, ESM 2018en_US
dc.source32nd Annual European Simulation and Modelling Conference 2018, ESM 2018, At Ghent, Belgium,p. 171-176en_US
dc.subject33 Ciencias tecnológicasen_US
dc.titlePower system planning supported by big dataen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference32nd Annual European Simulation and Modelling Conference, ESM 2018-
dc.identifier.scopus85058369712-
dc.contributor.authorscopusid57205056841-
dc.contributor.authorscopusid57205058424-
dc.contributor.authorscopusid56405135300-
dc.description.lastpage176-
dc.description.firstpage171-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.conferenceidevents121646-
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0003-2427-2441-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameMarrero Vera, Samuel-
crisitem.author.fullNameÉvora Gómez, José-
crisitem.author.fullNameHernández Cabrera, José Juan-
crisitem.event.eventsstartdate24-10-2018-
crisitem.event.eventsenddate26-10-2018-
Appears in Collections:Actas de congresos
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