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<dim:field authority="04F44202-C072-4FF3-AA2C-FEC3764867D2" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Trevisan, Riccardo</dim:field>
<dim:field authority="CC74BF7E-B79E-4F66-839B-6552BE1F6F19" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Galici, Marco</dim:field>
<dim:field authority="DF86A6F0-3B2C-4E6A-B2D1-08F887B55DA7" element="contributor" qualifier="author" confidence="ACCEPTED" language="es-ES" mdschema="dc">Pilo, Fabrizio</dim:field>
<dim:field element="date" qualifier="accessioned" mdschema="dc">2025-09-26T17:58:07Z</dim:field>
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<dim:field element="date" qualifier="issued" language="es_ES" mdschema="dc">2025-02-25</dim:field>
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<dim:field element="description" qualifier="abstract" language="es-ES" mdschema="dc">The 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.</dim:field>
<dim:field element="description" qualifier="abstract" language="en-GB" mdschema="dc">The 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.</dim:field>
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<dim:field element="publisher" language="es_ES" mdschema="dc">Cardiff University (Cardiff, Reino Unido)</dim:field>
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<dim:field element="source" language="es_ES" mdschema="dc">Libro: 59th International Universities Power Engineering Conference - UPEC 2024, Página inicial: 1-6, Página final:</dim:field>
<dim:field element="subject" qualifier="other" language="es_ES" mdschema="dc">Instituto de Investigación Tecnológica (IIT)</dim:field>
<dim:field element="title" language="es_ES" mdschema="dc">Uncertain Decision Making: A Cooperative Agent Model For Flexible Renewable Energy Comunities</dim:field>
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<dim:field element="keywords" language="es-ES" mdschema="dc">Energy Communities, Robust optimization, Scenario Analysis, Uncertainty, Demand flexibility.</dim:field>
<dim:field element="keywords" language="en-GB" mdschema="dc">Energy Communities, Robust optimization, Scenario Analysis, Uncertainty, Demand flexibility.</dim:field>
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