Publication:
Dynamic mean absolute error as new measure for assessing forecasting errors

dc.contributor.authorGastón Romeo, Martín
dc.contributor.authorFrías Paredes, Laura
dc.contributor.authorMallor Giménez, Fermín
dc.contributor.authorLeón, Teresa
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.date.accessioned2024-02-06T16:53:20Z
dc.date.available2024-02-06T16:53:20Z
dc.date.issued2018
dc.date.updated2024-02-06T11:58:15Z
dc.descriptionAlojado según Res. CNEAI 5/12/23 (ANECA)es_ES
dc.description.abstractAccurate wind power forecast is essential for grid integration, system planning, and electricity trading in certain electricity markets. Therefore, analyzing prediction errors is a critical task that allows a comparison of prediction models and the selection of the most suitable model. In this work, the temporal error and absolute magnitude error are simultaneously considered to assess the forecast error. The trade-off between both types of errors is computed, analyzed, and interpreted. Moreover, a new index, the dynamic mean absolute error, DMAE, is defined to measure the prediction accuracy. This index accounts for both error components: temporal and absolute. Real cases of wind energy forecasting are used to illustrate the use of the new DMAE index and show the advantages of this new index over other error indices.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationFrías-Paredes, L., Mallor-Giménez, F., Gastón-Romeo, M., León, T. (2018) Dynamic mean absolute error as new measure for assessing forecasting errors. Energy Conversion and Management, 162, 176-188. https://doi.org/10.1016/j.enconman.2018.02.030.en
dc.identifier.doi10.1016/j.enconman.2018.02.030es_ES
dc.identifier.issn0196-8904es_ES
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/47336
dc.language.isoengen
dc.publisherElsevieres_ES
dc.relation.ispartofEnergy Conversion and Management, 162, 176-188en
dc.relation.publisherversionhttps://doi.org/10.1016/j.enconman.2018.02.030es_ES
dc.rights*es_ES
dc.rights.accessRightsAcceso cerrado / Sarbide itxiaes
dc.rights.accessRightsinfo:eu-repo/semantics/closedAccessen
dc.titleDynamic mean absolute error as new measure for assessing forecasting errorsen
dc.typeinfo:eu-repo/semantics/article
dspace.entity.typePublication
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relation.isAuthorOfPublication2fc7260a-edd4-4ef0-bd4a-cd70cb2d7c0a
relation.isAuthorOfPublication7c01f74d-0369-4f57-b8c2-c6c579b76b38
relation.isAuthorOfPublication.latestForDiscoveryb2606814-3765-4898-8ade-90d6a6112fa9

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