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Optimal contracts allocation using mean variance optimization method

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorAzevedo, Filipe
dc.contributor.authorVale, Zita
dc.contributor.editorRamos, Carlos
dc.contributor.editorVale, Zita
dc.date.accessioned2026-04-20T09:38:10Z
dc.date.available2026-04-20T09:38:10Z
dc.date.issued2004-07-23
dc.description.abstractThe process of restructuration and liberalization of power systems are a constant all over the world. However, those processes, due to the specific characteristics of the “product” electricity, create uncertainty and new risks that did not exist when power systems were vertically integrated. Those changes origin the necessity of tools that allow the participants of the electricity markets to practice the hedge against the volatility of the System Marginal Price. In that sense, we present in this paper a decision-support application, based on a Mean Variance Optimization Method trying to give a response to the necessities of the electricity markets participants. The results show that the proposed method can be useful to producers and also to others participants of electricity markets like Brokers and Load Serving Entities (LSE).eng
dc.identifier.citationAzevedo, F. & Vale, Z. (2004, July 21-23). Optimal contracts allocation using mean variance optimization method. In Ramos, C. & Vale, Z. (Eds) Proceedings of the International Conference of Knowledge Engineering and Decision Support, ICKEDS´04. (pp. 467-472). Porto. Portugal
dc.identifier.isbn972-8688-24-5
dc.identifier.urihttp://hdl.handle.net/10400.22/32230
dc.language.isoeng
dc.peerreviewedyes
dc.publisherKnowledge Engineering and Decision Support Research Gruop - GECAD
dc.rights.uriN/A
dc.subjectRisk Management
dc.subjectHedge
dc.subjectElectricity Markets
dc.subjectContracts
dc.subjectDecision-Support System
dc.titleOptimal contracts allocation using mean variance optimization methodeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2004-07-23
oaire.citation.conferencePlacePorto, Portugal
oaire.citation.endPage472
oaire.citation.startPage467
oaire.citation.titleInternational Conference of Knowledge Engineering and Decision Support, ICKEDS´04
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAzevedo
person.familyNameVale
person.givenNameFilipe
person.givenNameZita
person.identifierR-000-57A
person.identifier632184
person.identifier.ciencia-idE416-BE11-F86C
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0003-0077-296X
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id24723592500
person.identifier.scopus-author-id7004115775
relation.isAuthorOfPublicationb9177c14-e9f0-451a-a8f9-5f2fe7ef93a5
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryb9177c14-e9f0-451a-a8f9-5f2fe7ef93a5

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