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A data-driven framework for designing a renewable energy co..:
Elomari, Youssef
;
Mateu Piñol, Carles
;
Marín Genescà, M
.
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2021-123511OB-C31/ES/. , 2024
Link:
https://doi.org/10.1016/j.apenergy.2024.122619
RT Journal T1 <Title>A data-driven framework for designing a renewable energy community based on the integration of machine learning model with life cycle assessment and life cycle cost parameters</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivlleida:oai:repositori.udl.cat:10459.1_464899&Exemplar=1&LAN=DE A1 Elomari, Youssef A1 Mateu Piñol, Carles A1 Marín Genescà, M A1 Boer, Dieter PB Elsevier YR 2024 K1 Energy community K1 Optimization K1 Machine learning K1 Life cycle assessment K1 Life cycle cost K1 Multi-objective optimization K1 Multi-criteria decision making JF info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2021-123511OB-C31/ES/ LK http://dx.doi.org/https://doi.org/10.1016/j.apenergy.2024.122619 DO https://doi.org/10.1016/j.apenergy.2024.122619 SF ELIB - SuUB Bremen
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