Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/52075
Campo DC Valoridioma
dc.contributor.authorEvora, Joseen_US
dc.contributor.authorHernández Cabrera, José Juanen_US
dc.contributor.authorHernandez, Marioen_US
dc.date.accessioned2018-11-25T17:15:20Z-
dc.date.available2018-11-25T17:15:20Z-
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/10553/52075-
dc.description.abstractMany experimental studies require the use of in silico simulators where hypotheses are evaluated. Developing these studies in real life may be costly or sometimes even impossible. However, simulated experimental studies require a significant effort to develop software simulators. In some cases, a great deal of time and effort is spent in developing simulators. Furthermore, these developments are usually oriented to solve a specific problem, so reusing simulators is sometimes impossible. In this paper, a framework for developing simulators is presented based on a Model Driven Engineering (MDE) approach. This framework, called Tafat, is intended to speed up the creation of complex system simulators on a discrete timing. Two case studies are presented where, in the first one, the construction from scratch is explained and, in the second, a complex system simulation is addressed.en_US
dc.languageengen_US
dc.relationFramework Para la Simulación de la Gestión de Mercado y Técnica de Redes Eléctricas Insulares Basado en Agentes Inteligentes. Caso de la Red Eléctrica de Gran Canaria.en_US
dc.sourceModelling and Simulation 2013 - European Simulation and Modelling Conference, ESM 2013, p. 207-211en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject120326 Simulaciónen_US
dc.subject.otherAgent-based modellingen_US
dc.subject.otherComplex systemsen_US
dc.subject.otherModel Driven Engineeringen_US
dc.subject.otherPower griden_US
dc.subject.otherSmart griden_US
dc.titleTafat : a framework for developing simulators based on model driven engineeringen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.identifier.doi10.13140/RG.2.1.4655.3680en_US
dc.identifier.scopus84898487294-
dc.contributor.authorscopusid55765472900-
dc.contributor.authorscopusid56109424300-
dc.contributor.authorscopusid7401972145-
dc.description.lastpage211-
dc.description.firstpage207-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.project.principalinvestigatorHernández Tejera, Francisco Mario-
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.orcid0000-0001-9717-8048-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameHernández Cabrera, José Juan-
crisitem.author.fullNameHernández Tejera, Francisco Mario-
Colección:Actas de congresos
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