{"id":"https://openalex.org/W7146967692","doi":"https://doi.org/10.1117/12.3108507","title":"Graph neural network system for fault localization and retuning recommendations in a distribution network","display_name":"Graph neural network system for fault localization and retuning recommendations in a distribution network","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7146967692","doi":"https://doi.org/10.1117/12.3108507"},"language":"en","primary_location":{"id":"doi:10.1117/12.3108507","doi":"https://doi.org/10.1117/12.3108507","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3108507","pdf_url":null,"source":{"id":"https://openalex.org/S7407115758","display_name":"International Conference on Actual Problems of Physics and Engineering of the Energy Complex (APEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Actual Problems of Physics and Engineering of the Energy Complex (APEC 2025)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019565066","display_name":"N V Khripunov","orcid":"https://orcid.org/0000-0003-0607-9699","observed_orcids":["https://orcid.org/0000-0003-0607-9699"]},"institutions":[{"id":"https://openalex.org/I3129553732","display_name":"Togliatti State University","ror":"https://ror.org/03e2ja558","country_code":"RU","type":"education","lineage":["https://openalex.org/I3129553732"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nicolay V. Khripunov","raw_affiliation_strings":["Togliatti State University (Russian Federation)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Togliatti State University (Russian Federation)","institution_ids":["https://openalex.org/I3129553732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088611229","display_name":"Olga A. Filippova","orcid":"https://orcid.org/0000-0002-0490-2357","observed_orcids":["https://orcid.org/0000-0002-0490-2357"]},"institutions":[{"id":"https://openalex.org/I4210134783","display_name":"Volga Region State University of Service","ror":"https://ror.org/041g3z125","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210134783"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Olga A. Filippova","raw_affiliation_strings":["Volga Region State University of Service (Russian Federation)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Volga Region State University of Service (Russian Federation)","institution_ids":["https://openalex.org/I4210134783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132688947","display_name":"Vladimir A. Berdnikov","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210163570","display_name":"Togliatti Academy of Management","ror":"https://ror.org/05henrr38","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210163570"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vladimir A. Berdnikov","raw_affiliation_strings":["Togliatti Academy of Management (Russian Federation)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Togliatti Academy of Management (Russian Federation)","institution_ids":["https://openalex.org/I4210163570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132607888","display_name":"Nataliya \u0410. Sosina","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3129553732","display_name":"Togliatti State University","ror":"https://ror.org/03e2ja558","country_code":"RU","type":"education","lineage":["https://openalex.org/I3129553732"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Nataliya \u0410. Sosina","raw_affiliation_strings":["Togliatti State University (Russian Federation)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Togliatti State University (Russian Federation)","institution_ids":["https://openalex.org/I3129553732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132588246","display_name":"Oksana V. Oskina","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3129553732","display_name":"Togliatti State University","ror":"https://ror.org/03e2ja558","country_code":"RU","type":"education","lineage":["https://openalex.org/I3129553732"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Oksana V. Oskina","raw_affiliation_strings":["Togliatti State University (Russian Federation)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Togliatti State University (Russian Federation)","institution_ids":["https://openalex.org/I3129553732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.0066999997943639755,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.0044999998062849045,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fault-localization","display_name":"fault location","score":0.9160000085830688},{"id":"https://openalex.org/keywords/distribution-networks","display_name":"distribution networks","score":0.7289999723434448},{"id":"https://openalex.org/keywords/graph-neural-networks","display_name":"graph neural networks","score":0.8709999918937683},{"id":"https://openalex.org/keywords/distributed-generation","display_name":"distributed generation","score":0.7710000276565552},{"id":"https://openalex.org/keywords/message-passing","display_name":"message passing","score":0.7900000214576721},{"id":"https://openalex.org/keywords/fault-classification","display_name":"fault classification","score":0.4180000126361847}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6040999889373779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5751000046730042},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5253999829292297},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4767000079154968},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39809998869895935},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.3937000036239624},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.3840000033378601},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.3734000027179718},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3725999891757965},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3564999997615814},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3407999873161316},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.3050000071525574},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.29789999127388},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.28929999470710754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.2565000057220459},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25360000133514404},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.3108507","doi":"https://doi.org/10.1117/12.3108507","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.3108507","pdf_url":null,"source":{"id":"https://openalex.org/S7407115758","display_name":"International Conference on Actual Problems of Physics and Engineering of the Energy Complex (APEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Actual Problems of Physics and Engineering of the Energy Complex (APEC 2025)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":1.0},{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8485000133514404}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4408897137","https://openalex.org/W4403126909","https://openalex.org/W4404529364","https://openalex.org/W4403211270","https://openalex.org/W4206150014","https://openalex.org/W2905833087","https://openalex.org/W3130601125","https://openalex.org/W4406264677","https://openalex.org/W4414940781","https://openalex.org/W4403127835"],"abstract_inverted_index":{"This":[0],"paper":[1],"analyzes":[2],"the":[3,29,98],"application":[4,74],"of":[5,23,31,40,45,68,75,84,94,147,179,199],"machine":[6],"learning":[7],"methods":[8],"for":[9,37,51,81,97,104,137,181,213],"fault":[10,41,138],"localization":[11,139,182],"and":[12,43,57,64,111,114,133,140,163,183,186,196,207],"sectionalization":[13],"recommendations":[14],"in":[15,151,160],"a":[16,20,32,53,65,76,130,177],"distribution":[17,79],"network":[18,36,101,122],"with":[19,60,158,192,202],"high":[21],"penetration":[22,206],"inverter-based":[24,115,204],"sources.":[25],"The":[26,73],"study":[27],"investigated":[28],"use":[30],"lightweight":[33],"graph":[34,99,120],"neural":[35,100,121],"simultaneous":[38],"classification":[39],"location":[42],"prediction":[44],"switching":[46],"control":[47],"actions.":[48],"A":[49,92,119,144,190],"procedure":[50],"constructing":[52],"synthetic":[54,88],"radial":[55],"feeder":[56],"generating":[58],"scenarios":[59,148],"noise,":[61],"telemetry":[62],"dropouts,":[63],"variable":[66],"proportion":[67],"distributed":[69],"generators":[70],"is":[71],"described.":[72],"linear":[77],"voltage":[78],"model":[80,174,215],"rapid":[82],"calculation":[83],"node":[85],"features":[86,96],"during":[87],"simulation":[89],"was":[90,102,124,149,168],"studied.":[91],"set":[93,178],"input":[95],"formed":[103,150],"each":[105],"node,":[106],"including":[107,170],"voltages,":[108],"currents,":[109],"active":[110],"reactive":[112],"powers,":[113],"generator":[116],"status":[117],"flags.":[118],"architecture":[123],"developed,":[125,169],"comprising":[126],"two":[127,134],"message-passing":[128],"layers,":[129],"global":[131],"readout,":[132],"output":[135],"layers":[136],"action":[141],"recommendation":[142,184],"tasks.":[143],"training":[145,175],"dataset":[146],"Google":[152],"Colab,":[153],"divided":[154],"into":[155],"train/val/test":[156],"sets,":[157],"variations":[159],"noise":[161],"levels":[162],"measurement":[164],"incompleteness.":[165],"Experiment":[166],"support":[167],"data":[171,208],"generation":[172],"scripts,":[173],"procedures,":[176],"metrics":[180],"accuracy,":[185],"inference":[187],"time":[188],"measurements.":[189],"comparison":[191],"basic":[193],"threshold":[194],"detection":[195],"an":[197],"analysis":[198],"performance":[200],"degradation":[201],"increasing":[203],"source":[205],"dropouts":[209],"were":[210,218],"justified.":[211],"Recommendations":[212],"future":[214],"expansion":[216],"directions":[217],"developed.":[219]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-04-02T00:00:00"}
