Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46773
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dc.contributor.authorLopez-Rodriguez, I.en_US
dc.contributor.authorHernandez-Tejera, M.en_US
dc.date.accessioned2018-11-23T08:01:08Z-
dc.date.available2018-11-23T08:01:08Z-
dc.date.issued2015en_US
dc.identifier.issn0306-2619en_US
dc.identifier.urihttp://hdl.handle.net/10553/46773-
dc.description.abstractThe most successful peer-to-peer networks are based on the concept of supernode, which is an operating point of the network that provides services and advanced functionalities to other nodes. Inspired by this idea, this paper proposes to integrate nodes that provide intelligent advanced services in the future architecture of the electrical grid. Besides facilitating the access to data services such as demand estimations and weather forecasts, these nodes are especially meant to hold virtual environments in which software agents, after being contracted, negotiate on behalf of users in energy markets. This architecture is designed to be compatible with the Energy Interoperation OASIS standard. The capabilities and feasibility of the proposal is demonstrated through realistic experiments based on OpenADR programs, in which users exchange energy by using parallel auction markets. In addition, in order to have the roles of buyer and seller in demand-response programs, thus allowing the creation of markets, a conceptual model based on negative loads and critical loads is provided. The experiments have proven that the proposed architecture facilitates the implementation of advanced distributed management systems in order that smart metering infrastructures, in contrast with traditional agent-based solutions, are released to perform negotiation tasks and access data services, while users gain both autonomy and decision-making capacity.en_US
dc.languageengen_US
dc.relation.ispartofApplied Energyen_US
dc.sourceApplied Energy [ISSN 0306-2619], v. 158, p. 1-11en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject3322 Tecnología energéticaen_US
dc.subject.otherEnergy servicesen_US
dc.subject.otherModeling and simulationen_US
dc.subject.otherMulti-agent systemsen_US
dc.subject.otherSmart Griden_US
dc.titleInfrastructure based on supernodes and software agents for the implementation of energy markets in demand-response programsen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.apenergy.2015.08.039
dc.identifier.scopus84940029322-
dc.identifier.isi000364880800001-
dc.contributor.authorscopusid36462875600-
dc.contributor.authorscopusid55966875800-
dc.identifier.eissn1872-9118-
dc.description.lastpage11-
dc.description.firstpage1-
dc.relation.volume158-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid5971903
dc.contributor.daisngid2188888
dc.contributor.wosstandardWOS:Lopez-Rodriguez, I
dc.contributor.wosstandardWOS:Hernandez-Tejera, M
dc.date.coverdateNoviembre 2015
dc.identifier.ulpgces
dc.description.sjr2,912
dc.description.jcr5,746
dc.description.sjrqQ1
dc.description.jcrqQ1
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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