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dc.contributor.authorTrevisan, Riccardoes-ES
dc.contributor.authorGalici, Marcoes-ES
dc.contributor.authorPilo, Fabrizioes-ES
dc.date.accessioned2025-09-15T22:08:03Z-
dc.date.available2025-09-15T22:08:03Z-
dc.date.issued2025-02-25es_ES
dc.identifier.urihttp://hdl.handle.net/11531/104155-
dc.descriptionCapítulos en libroses_ES
dc.description.abstractes-ES
dc.description.abstractThe paper proposes an innovative model for integrating energy communities within urban districts according to the smart cities paradigm. The approach developed contemplates the proactive participation of members of an energy community in providing demand-side flexibility to address the variability and non-programmability of renewable energy with the goal of harnessing locally produced energy. A framework for transactive energy has been developed that incorporates forecasting methodologies, uncertainty assessment through Monte Carlo simulations and mixed-integer linear optimization based on cooperative game theory. The effectiveness of the developed model is illustrated through a case study showing resilience and cooperative capabilities in an inherently uncertain decision-making process.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.publisherCardiff University (Cardiff, Reino Unido)es_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceLibro: 59th International Universities Power Engineering Conference - UPEC 2024, Página inicial: 1-6, Página final:es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleUncertain Decision Making: A Cooperative Agent Model For Flexible Renewable Energy Comunitieses_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsEnergy Communities, Robust optimization, Scenario Analysis, Uncertainty, Demand flexibility.en-GB
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