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Hybrid approach based on particle swarm optimization for electricity markets participation

2019Journal article Open access
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dc.contributor.authorFaia, R.
dc.contributor.authorPinto, Tiago
dc.contributor.authorVale, Zita
dc.contributor.authorCorchado, Juan Manuel
dc.date.accessioned2019-11-22T15:26:47Z
dc.date.available2019-11-22T15:26:47Z
dc.date.issued2019
dc.description.abstractIn many large-scale and time-consuming problems, the application of metaheuristics becomes essential, since these methods enable achieving very close solutions to the exact one in a much shorter time. In this work, we address the problem of portfolio optimization applied to electricity markets negotiation. As in a market environment, decision-making is carried out in very short times, the application of the metaheuristics is necessary. This work proposes a Hybrid model, combining a simplified exact resolution of the method, as a means to obtain the initial solution for a Particle Swarm Optimization (PSO) approach. Results show that the presented approach is able to obtain better results in the metaheuristic search process.pt_PT
dc.description.sponsorshipThis work has received funding from the European Union's Horizon 2020 research and innovation programme under project DOMINOES (grant agreement No 771066) and from FEDER Funds through COMPETE program and from National Funds through FCT under the project UID/EEA/00760/2019 and Ricardo Faia is supported by FCT Funds through and SFRH/BD/133086/2017 PhD scholarship.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1186/s42162-018-0066-7pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/14936
dc.language.isoengpt_PT
dc.publisherSpringerOpenpt_PT
dc.relationUID/EEA/00760/2013 - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (147448)pt_PT
dc.relation.publisherversionhttps://energyinformatics.springeropen.com/articles/10.1186/s42162-018-0066-7pt_PT
dc.subjectHybrid modelpt_PT
dc.subjectMetaheuristic searchpt_PT
dc.subjectParticle swarm optimization and portfolio optimizationpt_PT
dc.titleHybrid approach based on particle swarm optimization for electricity markets participationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1pt_PT
oaire.citation.titleEnergy Informaticspt_PT
oaire.citation.volume2pt_PT
person.familyNameFaia
person.familyNamePinto
person.familyNameVale
person.familyNameCorchado
person.givenNameRicardo Francisco Marcos
person.givenNameTiago
person.givenNameZita
person.givenNameJuan Manuel
person.identifier78FtZwIAAAAJ
person.identifierR-000-T7J
person.identifier632184
person.identifier.ciencia-id9B12-19F6-D6C7
person.identifier.ciencia-id2414-9B03-C4BB
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-id2B1C-3662-2BC9
person.identifier.orcid0000-0002-1053-7720
person.identifier.orcid0000-0001-8248-080X
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-2829-1829
person.identifier.ridT-2245-2018
person.identifier.ridA-5824-2012
person.identifier.ridD-3229-2013
person.identifier.scopus-author-id35219107600
person.identifier.scopus-author-id7004115775
person.identifier.scopus-author-id7006360842
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscovery2b7fbce0-75af-4caa-9945-0dff2a9f3b23

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