Evolutionary algorithms and Evolutionary Particle Swarms (EPSO) in modeling evolving energy retailers

Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/94670

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DC Field	Value	Language
dc.creator	Vladimiro Miranda
dc.creator	Naing Win Oo
dc.date.accessioned	2022-09-11T22:32:24Z	-
dc.date.available	2022-09-11T22:32:24Z	-
dc.date.issued	2005
dc.identifier.other	sigarra:64860
dc.identifier.uri	https://hdl.handle.net/10216/94670	-
dc.description.abstract	This paper provides evidence that Evolutionary Particle Swarm Algorithms outperform Genetic Algorithms in deriving optimal strategic decisions for an Energy Retailer, in the framework of a complex simulation of a multiple energy market, based on an Intelligent Agent FIPA-compliant open source platform.
dc.language.iso	eng
dc.relation.ispartof	15th Power Systems Computation Conference, PSCC 2005
dc.rights	restrictedAccess
dc.subject	Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática
dc.subject	Electrical engineering, Electrical engineering, Electronic engineering, Information engineering
dc.title	Evolutionary algorithms and Evolutionary Particle Swarms (EPSO) in modeling evolving energy retailers
dc.type	Artigo em Livro de Atas de Conferência Internacional
dc.contributor.uporto	Faculdade de Engenharia
dc.identifier.authenticus	P-00G-QQF
dc.subject.fos	Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fos	Engineering and technology::Electrical engineering, Electronic engineering, Information engineering
Appears in Collections:	FEUP - Artigo em Livro de Atas de Conferência Internacional

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