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dc.contributor.authorKampouropoulos, Konstantinos
dc.contributor.authorAndrade, Fabio
dc.contributor.authorCárdenas Araújo, Juan José
dc.contributor.authorRomeral Martínez, José Luis
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.date.accessioned2017-09-08T11:48:09Z
dc.date.available2017-09-08T11:48:09Z
dc.date.issued2012
dc.identifier.citationKampouropoulos, K., Andrade, F., Cardenas, J., Romeral, L. A methodology for energy prediction and optimization of a system based on the Energy Hub Concept using Particle Swarms. A: Annual Seminar on Automation, Industrial Electronics and Instrumentation. "SAAEI 2012 The Annual Seminar on Automation, Industrial Electronics and Instrumentation, Guimaraes, Portugal". Guimaraes: 2012, p. 1-6.
dc.identifier.urihttp://hdl.handle.net/2117/107536
dc.description.abstractIn this paper, a methodology for the energy prediction for the different consumptions of a system based in the Energy Hub concept is presented. The methodology that has been used for the energy prediction is based on an Adaptive Neuro-Fuzzy Inference System. An optimization method based on Particle Swarms has been used to minimize the energy cost of a system with multiple sources such as, photovoltaic, electrical grid and natural gas.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria elèctrica::Producció d’energia elèctrica
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshParticles
dc.subject.lcshForce and energy
dc.subject.lcshForecasting
dc.subject.otherEnergy Prediction
dc.subject.otherAdaptive Neuro-Fuzzy Inference System
dc.subject.otherEnergy Hub
dc.subject.otherParticle Swarm Optimization
dc.titleA methodology for energy prediction and optimization of a system based on the Energy Hub Concept using Particle Swarms
dc.typeConference report
dc.subject.lemacPartícules (Matèria)
dc.subject.lemacEnergia
dc.subject.lemacPrevisió
dc.contributor.groupUniversitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac21182980
dc.description.versionPostprint (author's final draft)
local.citation.authorKampouropoulos, K.; Andrade, F.; Cardenas, J.; Romeral, L.
local.citation.contributorAnnual Seminar on Automation, Industrial Electronics and Instrumentation
local.citation.pubplaceGuimaraes
local.citation.publicationNameSAAEI 2012 The Annual Seminar on Automation, Industrial Electronics and Instrumentation, Guimaraes, Portugal
local.citation.startingPage1
local.citation.endingPage6


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