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dc.contributor.authorStreet, Alexandrees-ES
dc.contributor.authorArroyo Sánchez, José Manueles-ES
dc.contributor.authorAlguacil Conde, Nataliaes-ES
dc.contributor.authorNobrega Barroso, Luiz Augustoes-ES
dc.date.accessioned2025-07-10T14:20:38Z-
dc.date.available2025-07-10T14:20:38Z-
dc.date.issued2025-06-01es_ES
dc.identifier.issn1540-7977es_ES
dc.identifier.urihttps:doi.org10.1109MPE.2025.3542381es_ES
dc.identifier.urihttp://hdl.handle.net/11531/100546-
dc.descriptionArtículos en revistases_ES
dc.description.abstractes-ES
dc.description.abstractThis article highlights robustness as an essential factor to cope with the ever-increasing levels of uncertainty in generation scheduling under significant renewable energy penetration, as is the case in Brazil and Spain. To that end, robust generation scheduling is framed within the different optimization-based approaches that are available for uncertainty handling. In addition, the suitability of robust optimization to accommodate practical security criteria in generation scheduling is also emphasized. Interestingly, this article points out the existence of an effective algorithm allowing the discovery of critical or so-called umbrella scenarios, which paves the way for the implementation of robust generation scheduling in industry practice.en-GB
dc.language.isoen-GBes_ES
dc.sourceRevista: IEEE Power and Energy Magazine, Periodo: 1, Volumen: online, Número: 3, Página inicial: 31, Página final: 43es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleRobustness: The Missing Ingredient in Generation Schedulinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywordses-ES
dc.keywordsRenewable energy sources , Job shop scheduling , Uncertainty , Processor scheduling , Stochastic processes , Probabilistic logic , Robustness , Power industry , Security , Optimizationen-GB
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