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Long-term price range forecast applied to risk management using regression models

dc.contributor.authorAzevedo, Filipe
dc.contributor.authorVale, Zita
dc.contributor.authorOliveira, P. B. Moura
dc.date.accessioned2013-05-03T11:39:29Z
dc.date.available2013-05-03T11:39:29Z
dc.date.issued2007
dc.date.updated2013-04-11T13:57:36Z
dc.description.abstractLong-term contractual decisions are the basis of an efficient risk management. However those types of decisions have to be supported with a robust price forecast methodology. This paper reports a different approach for long-term price forecast which tries to give answers to that need. Making use of regression models, the proposed methodology has as main objective to find the maximum and a minimum Market Clearing Price (MCP) for a specific programming period, and with a desired confidence level α. Due to the problem complexity, the meta-heuristic Particle Swarm Optimization (PSO) was used to find the best regression parameters and the results compared with the obtained by using a Genetic Algorithm (GA). To validate these models, results from realistic data are presented and discussed in detail.por
dc.identifierDOI 10.1109/ISAP.2007.4441656
dc.identifier.doi10.1109/ISAP.2007.4441656
dc.identifier.isbn978-986-01-2607-5
dc.identifier.urihttp://hdl.handle.net/10400.22/1508
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4441656&tag=1por
dc.subjectLiberalized electricity marketspor
dc.subjectParticle swarm optimizationpor
dc.subjectPrice forecastpor
dc.subjectRisk managementpor
dc.titleLong-term price range forecast applied to risk management using regression modelspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceToki Messe, Niigatapor
oaire.citation.titleInternational Conference on Intelligent Systems Applications to Power Systemspor
person.familyNameVale
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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