Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/113968
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dc.contributor.authorÉvora Gómez, Joséen_US
dc.contributor.authorKremers, Enriqueen_US
dc.contributor.authorMorales Cueva, S.en_US
dc.contributor.authorHernández Tejera, Francisco Marioen_US
dc.contributor.authorHernández Cabrera, José Juanen_US
dc.contributor.authorViejo, Pabloen_US
dc.date.accessioned2022-03-08T12:10:34Z-
dc.date.available2022-03-08T12:10:34Z-
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/10553/113968-
dc.description.abstractRegarding electrical systems as complex systems offers new approaches for analysing, modelling and simulating those systems. Using software engineering techniques like Model Driven Engineering, a disag- gregated model for household electricity demand is created. The Tafat framework for simulating complex energy systems is presented, including the concepts of the metamodel, models and behaviours. A first case study simulating the load curve of 1000 households composed of five different social groups is discussed and compared with an aggregated curve. The model is able to represent the load curve of a sample of households using a bottom-up approach.en_US
dc.languageengen_US
dc.subject330609 Transmisión y distribuciónen_US
dc.subject330602 Aplicaciones eléctricasen_US
dc.subject.otherAgent based modelen_US
dc.subject.otherElectrical systemen_US
dc.subject.otherDomestic load curve simulationen_US
dc.subject.otherResidential demanden_US
dc.subject.otherDemand side managementen_US
dc.subject.otherAppliancesen_US
dc.subject.otherModel driven engineeringen_US
dc.subject.otherSimulation frameworken_US
dc.subject.otherDemand size managementen_US
dc.subject.otherComplex systemen_US
dc.titleAgent-based modelling of electrical load at household levelen_US
dc.typeinfo:eu-repo/semantics/conferenceobjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceCoSMoS Workshop 2011, European Conference on Artificial Life (ECAL11)en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.description.numberofpages16en_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptDepartamento de Ingeniería Telemática-
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.orcid0000-0001-9717-8048-
crisitem.author.orcid0000-0001-8818-2993-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameÉvora Gómez, José-
crisitem.author.fullNameHernández Tejera, Francisco Mario-
crisitem.author.fullNameHernández Cabrera, José Juan-
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