Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52470
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dc.contributor.authorLopez-Rodriguez, I.en_US
dc.contributor.authorHernandez-Tejera, Marioen_US
dc.contributor.authorLopez, A. Luisen_US
dc.date.accessioned2018-11-27T09:17:21Z-
dc.date.available2018-11-27T09:17:21Z-
dc.date.issued2016en_US
dc.identifier.issn0378-7796en_US
dc.identifier.urihttp://hdl.handle.net/10553/52470-
dc.description.abstractSignificant research efforts are being devoted to the development of distributed electricity networks that aim to facilitate the gradual integration of manageable loads and distributed energy resources. These environments are conceived as self-managed, enclosed areas of the distribution network that integrates many of the technologies and information systems that will be part of the future Smart Grid. Both the new scheme and devices are expected to offer users presence in the grid operation so that their preferences and interests are relevant. To this end, the management system has been frequently proposed in form of an electronic market in which producers and consumers exchange energy blocks so that the consumption and production are continuously balanced. As the state of the art reflects, intelligent agents are an suitable technology for building energy management systems in which users participate actively in an intelligent and autonomous manner. This document presents a review of the most relevant works that tackle the safe and effective management of distributed electricity networks through autonomous software agents that negotiate on behalf of customers. This document presents a discussion of the suitability of the most relevant works, highlighting those that are most promising, and identifying the issues that are still necessary to reinforce in future research.en_US
dc.languageengen_US
dc.relation.ispartofElectric Power Systems Researchen_US
dc.sourceElectric Power Systems Research [ISSN 0378-7796], v. 136, p. 362-369en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject.otherDynamic energy managementen_US
dc.subject.otherElectricity marketen_US
dc.subject.otherIntelligent agentsen_US
dc.subject.otherMarket clearingen_US
dc.subject.otherSmart griden_US
dc.titleMethods for the management of distributed electricity networks using software agents and market mechanisms: A surveyen_US
dc.typeinfo:eu-repo/semantics/annotationes
dc.typeArticlees
dc.identifier.doi10.1016/j.epsr.2016.03.016
dc.identifier.scopus84962450006
dc.identifier.isi000375505800036
dc.contributor.authorscopusid36462875600
dc.contributor.authorscopusid55966875800
dc.contributor.authorscopusid35146316800
dc.description.lastpage369-
dc.description.firstpage362-
dc.relation.volume136-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Comentarioen_US
dc.contributor.daisngid5971903
dc.contributor.daisngid2188888
dc.contributor.daisngid3695459
dc.contributor.wosstandardWOS:Lopez-Rodriguez, I
dc.contributor.wosstandardWOS:Hernandez-Tejera, M
dc.contributor.wosstandardWOS:Lopez, AL
dc.date.coverdateJulio 2016
dc.identifier.ulpgces
dc.description.sjr1,167
dc.description.jcr2,688
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
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.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameHernández Tejera, Francisco Mario-
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