Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/54999
Campo DC | Valor | idioma |
---|---|---|
dc.contributor.author | Marrero Vera, Samuel | en_US |
dc.contributor.author | Evora Gomez,Jose | en_US |
dc.contributor.author | Hernández Cabrera, José Juan | en_US |
dc.date.accessioned | 2019-02-18T16:04:43Z | - |
dc.date.available | 2019-02-18T16:04:43Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9789492859051 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/54999 | - |
dc.description.abstract | Power 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.language | eng | en_US |
dc.relation.ispartof | 32nd Annual European Simulation and Modelling Conference 2018, ESM 2018 | en_US |
dc.source | 32nd Annual European Simulation and Modelling Conference 2018, ESM 2018, At Ghent, Belgium,p. 171-176 | en_US |
dc.subject | 33 Ciencias tecnológicas | en_US |
dc.title | Power system planning supported by big data | en_US |
dc.type | info:eu-repo/semantics/conferenceObject | en_US |
dc.type | ConferenceObject | en_US |
dc.relation.conference | 32nd Annual European Simulation and Modelling Conference, ESM 2018 | - |
dc.identifier.scopus | 85058369712 | - |
dc.contributor.authorscopusid | 57205056841 | - |
dc.contributor.authorscopusid | 57205058424 | - |
dc.contributor.authorscopusid | 56405135300 | - |
dc.description.lastpage | 176 | - |
dc.description.firstpage | 171 | - |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Actas de congresos | en_US |
dc.identifier.conferenceid | events121646 | - |
dc.identifier.ulpgc | Sí | es |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
crisitem.event.eventsstartdate | 24-10-2018 | - |
crisitem.event.eventsenddate | 26-10-2018 | - |
crisitem.author.dept | GIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos | - |
crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.dept | GIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos | - |
crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.orcid | 0000-0003-2427-2441 | - |
crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.fullName | Marrero Vera, Samuel | - |
crisitem.author.fullName | Évora Gómez, José | - |
crisitem.author.fullName | Hernández Cabrera, José Juan | - |
Colección: | Actas de congresos |
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