Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/46777
DC FieldValueLanguage
dc.contributor.authorLópez Rodríguez, Ignacio José-
dc.contributor.authorHernández Tejera, Mario-
dc.date.accessioned2018-11-23T08:04:12Z-
dc.date.available2018-11-23T08:04:12Z-
dc.date.issued2011-
dc.identifier.isbn978-1-4577-1702-4-
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/46777-
dc.description.abstractThe Smart Grid is an important milestone for the development of modern societies, which have increased their energy demand and largely depends on a reliable power supply. The management of the Smart Grid requires the installation of distributed and reactive control systems that are able to represent the interests of users, manage the demand on real time and operate the renewable energy sources safely and efficiently. To this end, one of the most accepted models is based on smart local devices that bargain the activity of the production and consumption units on behalf of users. However, the adoption of this technology poses important challenges that have not been considered in depth so far, and that will affect the efficiency, flexibility and reliability of the grid. This paper analyzes these challenges and puts forward the basis of a new model that aims to solve them.-
dc.languageeng-
dc.publisherIEEE-
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.-
dc.source2011 IEEE International Conference on Smart Grid Communications, SmartGridComm 2011 (6102395), p. 73-77-
dc.subject120304 Inteligencia artificial-
dc.subject.otherSmart grids-
dc.subject.otherReliability-
dc.subject.otherIntelligent agents-
dc.subject.otherEnergy management-
dc.subject.otherProduction-
dc.subject.otherBiological system modeling-
dc.subject.otherComputational modeling-
dc.titleChallenges of using smart local devices for the management of the smart grid-
dc.typeinfo:eu-repo/semantics/conferenceObject-
dc.typeConferenceObject-
dc.relation.conferenceIEEE International Conference on Smart Grid Communications (SmartGridComm)-
dc.identifier.doi10.1109/SmartGridComm.2011.6102395-
dc.identifier.scopus84855830066-
dc.identifier.isi000330170100013-
dc.contributor.authorscopusid36462875600-
dc.contributor.authorscopusid55966875800-
dc.description.lastpage77-
dc.identifier.issue6102395-
dc.description.firstpage73-
dc.investigacionIngeniería y Arquitectura-
dc.type2Actas de congresos-
local.message.claim2026-01-30T23:01:22.953+0000|||rp04380|||submit_approve|||dc_contributor_author|||Escribí este artículo como parte de mi tesis doctoral junto con el Director de la misma (Mario Hernández Tejera). Ahora soy Profesor Ayudante Doctor y estoy actualizando mis publicaciones en accedaCRIS. En el momento de escribir el artículo era colaborador externo del SIANI.-
dc.contributor.daisngid5971903-
dc.contributor.daisngid2188888-
dc.description.numberofpages5-
dc.contributor.wosstandardWOS:Lopez-Rodriguez, I-
dc.contributor.wosstandardWOS:Hernandez-Tejera, M-
dc.date.coverdateDiciembre 2011-
dc.identifier.conferenceidevents120852-
dc.identifier.ulpgc-
dc.contributor.buulpgcBU-INF-
item.grantfulltextrestricted-
item.fulltextCon texto completo-
crisitem.event.eventsstartdate17-10-2011-
crisitem.event.eventsenddate20-10-2011-
crisitem.author.deptDepartamento de Informática y Sistemas-
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.orcid0000-0001-9717-8048-
crisitem.author.parentorgIU de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería-
crisitem.author.fullNameLópez Rodríguez, Ignacio José-
crisitem.author.fullNameHernández Tejera, Francisco Mario-
crisitem.project.principalinvestigatorHernández Tejera, Francisco Mario-
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