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Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/74229
DC FieldValueLanguage
dc.contributor.authorHauser, Wolfgangen_US
dc.contributor.authorÉvora Gómez, Joséen_US
dc.contributor.authorKremers, Enriqueen_US
dc.date.accessioned2020-09-01T21:28:54Z-
dc.date.available2020-09-01T21:28:54Z-
dc.date.issued2012en_US
dc.identifier.isbn978-0-9564944-4-3en_US
dc.identifier.otherScopus-
dc.identifier.otherWoS-
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/74229-
dc.description.abstractUsing the results of a representative survey for the city of Stuttgart, household load-curves are simulated through an agent-based modelling approach. Aggregated household load-curves for different lifestyle groups are presented and the effect of their corresponding behavioral profiles on the residential load-curve is evaluated.en_US
dc.languageengen_US
dc.sourceProceedings - 26th European Conference on Modelling and Simulation, ECMS 2012 / edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann, p. 58-63, (Diciembre 2012)en_US
dc.subject120326 Simulaciónen_US
dc.subject.otherLifestyleen_US
dc.subject.otherLoad-Curvesen_US
dc.subject.otherResidential Energy Consumptionen_US
dc.subject.otherABSen_US
dc.subject.otherAgent-Based-Modelen_US
dc.titleModelling lifestyle aspects influencing the residential load-curveen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference26th European Conference on Modelling and Simulation, ECMS 2012en_US
dc.identifier.doi10.7148/2012-0058-0063en_US
dc.identifier.scopus84879017613-
dc.identifier.scopus85088759507-
dc.identifier.isi000319084600008-
dc.contributor.authorscopusid55490392200-
dc.contributor.authorscopusid55765472900-
dc.contributor.authorscopusid36141961500-
dc.description.lastpage63en_US
dc.description.firstpage58en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid3347942-
dc.contributor.daisngid4682726-
dc.contributor.daisngid1870330-
dc.description.numberofpages2en_US
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Hauser, W-
dc.contributor.wosstandardWOS:Evora, J-
dc.contributor.wosstandardWOS:Kremers, E-
dc.date.coverdateDiciembre 2012en_US
dc.identifier.conferenceidevents120824-
dc.identifier.ulpgcSíes
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.event.eventsstartdate29-05-2012-
crisitem.event.eventsenddate01-06-2012-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0001-9348-7265-
crisitem.author.parentorgIU de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería-
crisitem.author.fullNameÉvora Gómez, José-
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