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Transformer Model for Inrush Current Minimization

dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorUgarte Valdivielso, Jone
dc.contributor.authorJose I., Aizpurua
dc.contributor.authorBarrenetxea, Manex
dc.contributor.authorBrian G., Stewart
dc.date.accessioned2026-03-24T10:14:15Z
dc.date.available2026-03-24T10:14:15Z
dc.date.issued2026
dc.identifierhttps://github.com/joneuga/Transformer-Model-Inrushen
dc.identifier.urihttps://hdl.handle.net/20.500.11984/14077
dc.descriptionThis repository contains the code, data and additional materials of the paper "Reinforcement Learning-Based Controlled Switching Approach for Inrush Current Minimization in Power Transformers" by Jone Ugarte (Mondragon University, Spain), Jose I. Aizpurua (University of the Basque Country and Ikerbasque Basque Foundation for Science, Spain), Manex Barrenetxea (Mondragon University, Spain) and Brian G. Stewart (University of Strathclyde, UK).es
dc.language.isoengen
dc.publisherMondragon Unibertsitatea. Goi Eskola Politeknikoaen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectODS 13 Acción por el climaes
dc.titleTransformer Model for Inrush Current Minimizationen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
local.contributor.groupRedes eléctricases
local.identifier.doihttps://doi.org/10.48764/zng9-ww32
local.contributor.otherinstitutionhttps://ror.org/00wvqgd19es
local.contributor.otherinstitutionhttps://ror.org/000xsnr85es
local.contributor.otherinstitutionhttps://ror.org/00n3w3b69es
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oaire.funderNameGobierno de Españaen
oaire.funderNameGobierno de Españaen
oaire.funderNameGobierno Vascoen
oaire.funderNameGobierno Vascoen
oaire.funderIdentifierhttps://ror.org/038jjxj40 / http://data.crossref.org/fundingdata/funder/10.13039/501100010198en
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oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086
oaire.fundingStreamConvocatoria 2021. Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia, del Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023en
oaire.fundingStreamProyectos de I+D+I (Generación de Conocimiento y Retos Investigación)en
oaire.fundingStreamIkasiker 2022-2023en
oaire.fundingStreamIkasiker 2022-2023en
oaire.awardNumberCPP2021-008580en
oaire.awardNumberPID2024-156284OA-I00en
oaire.awardNumberIT1634-22en
oaire.awardNumberIT1504-22en
oaire.awardTitleModelización y Diagnóstico de Transformadores (MODITRANS)en
oaire.awardTitleRedes neuronales bayesianas informadas por la física multifidelidad para el pronóstico de activos y aprendizaje por refuerzo consciente de incertidumbre en microredesen
oaire.awardTitleJon Andoni Barrena Bruñaen
oaire.awardTitleSin informaciónen
oaire.awardURISin informaciónen
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