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Forecasting energy demand in isolated rural communities: A comparison between deterministic and stochastic approaches

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Forecasting energy demand in isolated rural communities: A comparison between deterministic and stochastic approaches

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dc.contributor.author Herraiz-Cañete, Ángela es_ES
dc.contributor.author Ribó-Pérez, David Gabriel es_ES
dc.contributor.author Bastida-Molina, Paula es_ES
dc.contributor.author Gómez-Navarro, Tomás es_ES
dc.date.accessioned 2022-02-14T19:02:51Z
dc.date.available 2022-02-14T19:02:51Z
dc.date.issued 2022-02 es_ES
dc.identifier.uri http://hdl.handle.net/10251/180804
dc.description.abstract [EN] Off-grid renewable energy grids will contribute to the achievement of SDG 7 on universal energy access, especially in off-grid communities. But the scarcity of resources for development aid requires very tight designs that minimise the cost of investment and operation of the mini-grid. To do this, the future energy demand of the community must be analysed very well, which is very difficult due to the lack of previous data. In the literature, two main approaches to analyse future energy demand, deterministic and stochastic methodologies. In this article, we compare both methodologies for a real case study in Honduras and discuss their advantages and disadvantages. Although the deterministic approach requires less information and less mathematical processing, it generates less accurate results. In contrast, the stochastic approach consumes more resources but gives more realistic results for the correct design of the mini-grid. In conclusion, the deterministic approach methods can be useful for the early stages of the project, when the investment is being sized. But for the advanced phases of the project, when the installation is being designed, the stochastic approach is recommended. es_ES
dc.description.sponsorship This work was supported in part by the Spanish public administration under the grant FPU2016/00962, by the regional public administration of Valencia under the grant ACIF/2018/106, by the Food and Agriculture Organisation under the Letter of Agreement (PO number: 332412). And finally, by the Cátedra de Transición Energética Urbana (Las Naves-FVCiE-UPV) es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Energy for Sustainable Development es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Rural electrification es_ES
dc.subject Demand forecasting es_ES
dc.subject SDG7 es_ES
dc.subject Deterministic methods es_ES
dc.subject Stochastic methods es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.title Forecasting energy demand in isolated rural communities: A comparison between deterministic and stochastic approaches es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.esd.2021.11.007 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//FPU16%2F00962/ES/FPU16%2F00962/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/FAO//332412/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Food and Agriculture Organisation//20180267//Design of a hybrid renewable microgrid system within the Climate Resilient Rural Communitites project that will be developed in the rural community El Santuario in the Department of Choluteca, Honduras/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//ACIF%2F2018%2F106//AYUDA PREDOCTORAL GVA-BASTIDA MOLINA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AECID//2019_ACDE_000842//Microred Inteligente Híbrida de Energías Renovables para solucionar el Trilema Agua-Alimentación-Energía en una comunidad rural de Honduras / es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AECID//2020%2FACDE%2F000306//MICRORED INTELIGENTE HIBRIDA DE ENERGIAS RENOVABLES PARA SOLUCIONAR EL TRILEMA AGUA-ALIMENTACION-ENERGIA EN UNA COMUNIDAD RURAL DE HONDURAS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica es_ES
dc.description.bibliographicCitation Herraiz-Cañete, Á.; Ribó-Pérez, DG.; Bastida-Molina, P.; Gómez-Navarro, T. (2022). Forecasting energy demand in isolated rural communities: A comparison between deterministic and stochastic approaches. Energy for Sustainable Development. 66:101-116. https://doi.org/10.1016/j.esd.2021.11.007 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.esd.2021.11.007 es_ES
dc.description.upvformatpinicio 101 es_ES
dc.description.upvformatpfin 116 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 66 es_ES
dc.identifier.eissn 0973-0826 es_ES
dc.relation.pasarela S\451204 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder MINISTERIO DE EDUCACION es_ES
dc.contributor.funder Food and Agriculture Organisation es_ES
dc.contributor.funder AGENCIA ESPAÑOLA DE COOPERACION INTERNACIONAL es_ES
dc.contributor.funder FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS es_ES
dc.subject.ods 01.- Erradicar la pobreza en todas sus formas en todo el mundo es_ES
dc.subject.ods 07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos es_ES
dc.subject.ods 13.- Tomar medidas urgentes para combatir el cambio climático y sus efectos es_ES


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