Repository logo
 
Publication

Short-term electricity prices forecasting in a competitive market by a hybrid PSO-ANFIS approach

dc.contributor.authorPousinho, Hugo Miguel Inácio
dc.contributor.authorMendes, Victor
dc.contributor.authorCatalão, João Paulo da Silva
dc.date.accessioned2012-11-02T17:04:54Z
dc.date.available2012-11-02T17:04:54Z
dc.date.issued2012-06
dc.description.abstractIn this paper, a novel hybrid approach is proposed for electricity prices forecasting in a competitive market, considering a time horizon of 1 week. The proposed approach is based on the combination of particle swarm optimization and adaptive-network based fuzzy inference system. Results from a case study based on the electricity market of mainland Spain are presented. A thorough comparison is carried out, taking into account the results of previous publications, to demonstrate its effectiveness regarding forecasting accuracy and computation time. Finally, conclusions are duly drawn. (C) 2012 Elsevier Ltd. All rights reserved.por
dc.identifier.citationPousinho H M I, Mendes V M F, Catalão J P S. Short-term electricity prices forecasting in a competitive market by a hybrid PSO-ANFIS approach. International Journal of Electrical Power & Energy Systems. 2012; 1 (39): 29-35.por
dc.identifier.issn0142-0615
dc.identifier.urihttp://hdl.handle.net/10400.21/1878
dc.language.isoengpor
dc.publisherElsevier Sci LTDpor
dc.subjectElectricity Marketpor
dc.subjectPrice Forecastingpor
dc.subjectSwarm Optimizationpor
dc.subjectNeural Networkspor
dc.subjectFuzzy Logicpor
dc.subjectNeural-Networkpor
dc.subjectARIMA Modelspor
dc.subjectSystempor
dc.titleShort-term electricity prices forecasting in a competitive market by a hybrid PSO-ANFIS approachpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceOxonpor
oaire.citation.endPage35por
oaire.citation.issue1por
oaire.citation.startPage29por
oaire.citation.titleInternational Journal of Electrical Power & Energy Systemspor
oaire.citation.volume39por
person.familyNameMendes
person.givenNameVictor
person.identifier.orcid0000-0002-4599-477X
person.identifier.ridD-2332-2012
person.identifier.scopus-author-id55138675600
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublicationa86b9291-f23c-4f09-83d7-9ee691696705
relation.isAuthorOfPublication.latestForDiscoverya86b9291-f23c-4f09-83d7-9ee691696705

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Short.rep.pdf
Size:
194.44 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: