Metaheuristics applied to power systems

Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/99434

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DC Field	Value	Language
dc.creator	Manuel A. Matos
dc.creator	M.Teresa Ponce de Leão
dc.creator	J. Tomé Saraiva
dc.creator	J. Nuno Fidalgo
dc.creator	Vladimiro Miranda
dc.creator	J. Peças Lopes
dc.creator	J. Rui Ferreira
dc.creator	Jorge M. C. Pereira
dc.creator	L. Miguel Proença
dc.creator	J. Luís Pinto
dc.date.accessioned	2019-05-22T23:07:04Z	-
dc.date.available	2019-05-22T23:07:04Z	-
dc.date.issued	2004
dc.identifier.issn	1384-6485
dc.identifier.other	sigarra:114762
dc.identifier.uri	https://hdl.handle.net/10216/99434	-
dc.description.abstract	Most optimization and decision problems in power systems include integer or binary variables, leading to combinatorial problems. In this paper, several approaches using metaheuristics and genetic algorithms are presented that deal with real problems of the power industry Most of these methodologies are now implemented in distribution management systems (DMS) used by several utilities.
dc.language.iso	eng
dc.rights	restrictedAccess
dc.title	Metaheuristics applied to power systems
dc.type	Artigo em Revista Científica Internacional
dc.contributor.uporto	Faculdade de Economia
dc.contributor.uporto	Faculdade de Engenharia
dc.identifier.authenticus	P-000-D7T
Appears in Collections:	FEP - Artigo em Revista Científica Internacional FEUP - Artigo em Revista Científica Internacional

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