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Optimal Contracts Allocation Using Mean Variance Optimization Method

dc.contributor.authorAzevedo, Filipe
dc.contributor.authorVale, Zita
dc.date.accessioned2017-01-24T14:43:41Z
dc.date.available2017-01-24T14:43:41Z
dc.date.issued2004
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).pt_PT
dc.description.versionN/Apt_PT
dc.identifier.isbn972-8688-24-5
dc.identifier.urihttp://hdl.handle.net/10400.22/9359
dc.language.isoengpt_PT
dc.relation.ispartofseriesICKEDS'04;
dc.subjectRisk Managementpt_PT
dc.subjectHedgept_PT
dc.subjectElectricity Marketspt_PT
dc.subjectContractspt_PT
dc.subjectDecision-Support Systempt_PT
dc.titleOptimal Contracts Allocation Using Mean Variance Optimization Methodpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePorto, 21 a 23 de Julho de 2004pt_PT
oaire.citation.titleInternational Conference on Knowledge Engineering and Decision Supportpt_PT
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.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryff1df02d-0c0f-4db1-bf7d-78863a99420b

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