dc.contributor.author | Alberdi Muiño, Rafael ![ORCID](/themes/Mirage2//images/orcid_16x16.png) | |
dc.contributor.author | Fernández Herrero, Elvira ![ORCID](/themes/Mirage2//images/orcid_16x16.png) | |
dc.contributor.author | Albizu Flórez, Igor ![ORCID](/themes/Mirage2//images/orcid_16x16.png) | |
dc.contributor.author | Bedialauneta Landaribar, Miren Terese ![ORCID](/themes/Mirage2//images/orcid_16x16.png) | |
dc.contributor.author | Fernández Martínez, Roberto ![ORCID](/themes/Mirage2//images/orcid_16x16.png) | |
dc.date.accessioned | 2021-10-20T10:56:39Z | |
dc.date.available | 2021-10-20T10:56:39Z | |
dc.date.issued | 2021-12 | |
dc.identifier.citation | International Journal of Electrical Power & Energy Systems 128 : (2021) // Article ID 107305 | es_ES |
dc.identifier.issn | 0142-0615 | |
dc.identifier.issn | 1879-3517 | |
dc.identifier.uri | http://hdl.handle.net/10810/53499 | |
dc.description.abstract | This paper proposes a methodology for overhead line ampacity forecasting that enables empirical probabilistic forecasts to be made up to one day ahead, which is useful for grid scheduling and operation. The proposed method is based on the statistical adaptation of weather forecasts to the line-span scale and aims to produce reliable forecasts that allow the selection of a low risk of overheating overhead conductors by TSOs and DSOs. Moreover, a methodology for the evaluation of probabilistic forecasts and line capacity utilization is also proposed. | es_ES |
dc.description.sponsorship | This work was supported by the Ministerio de Economia, Industria y Competitividad, under the Project DPI2016-77215-R(AEI/FEDER, UE), and by the University of the Basque Country UPV/EHU (ELEKTRIKER research group GIU20/034). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/DPI2016-77215-R | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | energy efficiency | es_ES |
dc.subject | power distribution | es_ES |
dc.subject | power system management | es_ES |
dc.subject | smart grids | es_ES |
dc.subject | wind energy integration | es_ES |
dc.subject | prediction | es_ES |
dc.title | Overhead line ampacity forecasting and a methodology for assessing risk and line capacity utilization | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0142061521005445?via%3Dihub | es_ES |
dc.identifier.doi | 10.1016/j.ijepes.2021.107305 | |
dc.departamentoes | Ingeniería eléctrica | es_ES |
dc.departamentoeu | Ingeniaritza elektrikoa | es_ES |