{"id":"https://openalex.org/W3003738714","doi":"https://doi.org/10.1109/access.2020.2969446","title":"Transient Stability Assessment of Power System Based on XGBoost and Factorization Machine","display_name":"Transient Stability Assessment of Power System Based on XGBoost and Factorization Machine","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3003738714","doi":"https://doi.org/10.1109/access.2020.2969446","mag":"3003738714"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2969446","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2969446","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08970275.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08970275.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101744084","display_name":"Nan Li","orcid":"https://orcid.org/0000-0002-9855-1358"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nan Li","raw_affiliation_strings":["Department of Electrical Engineering, Northeast Electric Power University, Jilin, China","Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0002-9855-1358","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]},{"raw_affiliation_string":"Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010421547","display_name":"Baoluo Li","orcid":"https://orcid.org/0000-0002-5796-0550"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoluo Li","raw_affiliation_strings":["Department of Electrical Engineering, Northeast Electric Power University, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0002-5796-0550","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Northeast Electric Power University, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101486069","display_name":"Lei Gao","orcid":"https://orcid.org/0000-0002-8775-9209"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]},{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Gao","raw_affiliation_strings":["China Electric Power Research Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8775-9209","affiliations":[{"raw_affiliation_string":"China Electric Power Research Institute, Beijing, China","institution_ids":["https://openalex.org/I153473198","https://openalex.org/I4392738113"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101744084"],"corresponding_institution_ids":["https://openalex.org/I179060312"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.0567,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.94497157,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"28403","last_page":"28414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9994000196456909,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9994000196456909,"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/T10972","display_name":"Power Systems Fault Detection","score":0.9947999715805054,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.759672999382019},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6461460590362549},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4382566213607788},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.43740126490592957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3871039152145386},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37418752908706665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3694854974746704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759672999382019},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6461460590362549},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4382566213607788},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.43740126490592957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3871039152145386},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37418752908706665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3694854974746704},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2969446","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2969446","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08970275.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ca485812c8a44585b5387c29fe651f1e","is_oa":true,"landing_page_url":"https://doaj.org/article/ca485812c8a44585b5387c29fe651f1e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 28403-28414 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2969446","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2969446","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08970275.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5134016343","display_name":null,"funder_award_id":"NSFC51577023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3003738714.pdf","grobid_xml":"https://content.openalex.org/works/W3003738714.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W10127431","https://openalex.org/W1521492382","https://openalex.org/W2053710669","https://openalex.org/W2053989572","https://openalex.org/W2054825138","https://openalex.org/W2072128103","https://openalex.org/W2076618162","https://openalex.org/W2082861876","https://openalex.org/W2102831150","https://openalex.org/W2126043700","https://openalex.org/W2147246923","https://openalex.org/W2151109389","https://openalex.org/W2155978258","https://openalex.org/W2163657691","https://openalex.org/W2187089797","https://openalex.org/W2295598076","https://openalex.org/W2295739661","https://openalex.org/W2300217460","https://openalex.org/W2332213682","https://openalex.org/W2346189488","https://openalex.org/W2540406226","https://openalex.org/W2766309602","https://openalex.org/W2767111237","https://openalex.org/W2774228982","https://openalex.org/W2791396766","https://openalex.org/W2883737633","https://openalex.org/W2897637621","https://openalex.org/W2913138152","https://openalex.org/W2920030711","https://openalex.org/W3102476541","https://openalex.org/W4231109964"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2770593030","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W3154990682","https://openalex.org/W2181413294","https://openalex.org/W2560201613","https://openalex.org/W2989452537"],"abstract_inverted_index":{"As":[0],"the":[1,24,32,36,40,43,56,84,89,105,108,122,129,136,144,148,169,173,176,182,192,197,208],"deployment":[2],"of":[3,35,42,58,98,107,140,147,165,175,199],"wide-area":[4],"measurement":[5],"systems":[6],"(WAMS)":[7],"expands,":[8],"data-driven":[9],"methods":[10],"are":[11],"playing":[12],"an":[13],"increasingly":[14],"important":[15],"role":[16],"in":[17,120,196],"transient":[18],"stability":[19],"assessment":[20,184],"(TSA).":[21],"However,":[22],"if":[23],"measured":[25],"data":[26,164],"is":[27,126],"disturbed":[28],"by":[29],"noise":[30,99,200],"or":[31,202],"topological":[33],"structure":[34],"power":[37,90],"system":[38],"changes,":[39],"performance":[41,195],"model":[44,130,185],"based":[45,69,186],"on":[46,70,187],"data-mining":[47],"would":[48],"decline":[49],"so":[50],"that":[51],"it":[52],"could":[53],"not":[54,189],"meet":[55],"needs":[57],"real-world":[59],"scenarios.":[60],"In":[61],"this":[62,113],"paper,":[63],"we":[64,155],"develop":[65],"a":[66,93,157],"TSA":[67],"methodology":[68],"extreme":[71],"gradient":[72],"boosting":[73],"(XGBoost)":[74],"and":[75,87,212],"factorization":[76],"machine":[77],"(FM).":[78],"Utilizing":[79],"XGBoost":[80],"to":[81,104,131,168],"complete":[82,132],"automatically":[83],"feature":[85,110,137],"construction":[86],"transform":[88],"flow":[91],"into":[92,128],"sparse":[94,124],"matrix.":[95],"The":[96],"influence":[97],"can":[100],"be":[101],"reduce":[102],"due":[103],"sparsity":[106],"new":[109],"set.":[111],"On":[112],"basis,":[114],"FM":[115,141],"algorithm,":[116],"which":[117],"has":[118,191,207],"advantage":[119],"processing":[121],"large":[123],"matrix,":[125],"introduced":[127],"fault":[133],"classification.":[134],"Furthermore,":[135],"crossing":[138],"function":[139],"further":[142],"mines":[143],"interactive":[145],"information":[146],"spatio-temporal":[149],"features.":[150],"For":[151],"changed":[152,203],"topology":[153,166],"scenarios,":[154],"propose":[156],"extended-training":[158],"set":[159,171],"scheme.":[160],"Adding":[161],"some":[162],"pivotal":[163],"changes":[167],"training":[170],"improves":[172],"robustness":[174],"model.":[177],"Compared":[178],"with":[179],"existing":[180],"studies,":[181],"proposed":[183],"XGBoost-FM":[188],"only":[190],"better":[193],"generalization":[194],"case":[198],"interference":[201],"topology,":[204],"but":[205],"also":[206],"least":[209],"time":[210],"consumption":[211],"complexity.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
