{"id":"https://openalex.org/W4391236636","doi":"https://doi.org/10.1109/ispec58282.2023.10403064","title":"Substation Alarm Event Identification Based on BERT and Cosine Similarity","display_name":"Substation Alarm Event Identification Based on BERT and Cosine Similarity","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4391236636","doi":"https://doi.org/10.1109/ispec58282.2023.10403064"},"language":"en","primary_location":{"id":"doi:10.1109/ispec58282.2023.10403064","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ispec58282.2023.10403064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Sustainable Power and Energy Conference (iSPEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039042766","display_name":"Zhenyu Zhou","orcid":"https://orcid.org/0000-0002-3344-4463"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Zhou","raw_affiliation_strings":["Southeast University,School of Software,Nanjing,China,211189"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,School of Software,Nanjing,China,211189","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018039614","display_name":"Huan Long","orcid":"https://orcid.org/0000-0002-6578-9140"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Long","raw_affiliation_strings":["Southeast University,School of Electrical Engineering,Nanjing,China,210096"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,School of Electrical Engineering,Nanjing,China,210096","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.5409,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63133129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9793999791145325,"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"}},"topics":[{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9793999791145325,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/alarm","display_name":"ALARM","score":0.718564510345459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.657530665397644},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6518733501434326},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.622761607170105},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5779155492782593},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5621140599250793},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.46624866127967834},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4649113118648529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4425894618034363},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.41728633642196655},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34988367557525635},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3496149480342865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29358839988708496},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2833348512649536},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.12416425347328186},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.06703895330429077}],"concepts":[{"id":"https://openalex.org/C2779119184","wikidata":"https://www.wikidata.org/wiki/Q294350","display_name":"ALARM","level":2,"score":0.718564510345459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.657530665397644},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6518733501434326},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.622761607170105},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5779155492782593},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5621140599250793},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.46624866127967834},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4649113118648529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4425894618034363},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.41728633642196655},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34988367557525635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3496149480342865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29358839988708496},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2833348512649536},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.12416425347328186},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06703895330429077},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispec58282.2023.10403064","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ispec58282.2023.10403064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Sustainable Power and Energy Conference (iSPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2896457183","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2389818373","https://openalex.org/W2220831889","https://openalex.org/W4312683641","https://openalex.org/W3027421045","https://openalex.org/W2576320324","https://openalex.org/W2980386803","https://openalex.org/W3215994059","https://openalex.org/W2319823519","https://openalex.org/W4206798987","https://openalex.org/W2801158176"],"abstract_inverted_index":{"Traditional":[0],"alarm":[1,34,98,113],"event":[2],"identification":[3,11,26,99,114],"in":[4,24,97],"substations":[5],"usually":[6],"is":[7,69,75],"supported":[8],"by":[9,54],"manual":[10],"or":[12],"expert":[13],"system":[14,115],"assistance.":[15],"This":[16],"leads":[17],"to":[18],"low":[19],"efficiency":[20,96],"and":[21,31,77,95,116],"unstable":[22],"accuracy":[23,94],"the":[25,46,72,81,89,108,111,120],"process.":[27],"To":[28],"achieve":[29],"intelligent":[30,123],"accurate":[32],"substation":[33,50],"identification,":[35],"this":[36],"paper":[37],"introduces":[38],"Bidirectional":[39],"Encoder":[40],"Representation":[41],"from":[42],"Transformers":[43],"(BERT)":[44],"as":[45],"foundation.":[47],"Firstly,":[48],"real":[49],"data":[51,61],"are":[52],"preprocessed":[53],"nature":[55],"language":[56],"process":[57],"methods.":[58],"Then,":[59],"a":[60],"supplementation":[62],"optimization":[63],"strategy":[64],"based":[65,79],"on":[66,80,100],"cosine":[67],"similarity":[68],"proposed.":[70],"Finally,":[71],"BERT":[73,90],"model":[74],"trained":[76],"fine-tuned":[78],"enhanced":[82],"dataset.":[83],"The":[84],"experimental":[85],"results":[86],"show":[87],"that":[88],"has":[91],"extremely":[92],"high":[93],"multiple":[101],"substations.":[102,124],"It":[103],"can":[104],"effectively":[105],"compensate":[106],"for":[107,119],"shortcomings":[109],"of":[110,122],"current":[112],"provide":[117],"assistance":[118],"construction":[121]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}