{"id":"https://openalex.org/W4407214993","doi":"https://doi.org/10.1109/icaice63571.2024.10864055","title":"Power Grid Transient Stability Assessment Method Based on Big Data Analysis","display_name":"Power Grid Transient Stability Assessment Method Based on Big Data Analysis","publication_year":2024,"publication_date":"2024-11-08","ids":{"openalex":"https://openalex.org/W4407214993","doi":"https://doi.org/10.1109/icaice63571.2024.10864055"},"language":"en","primary_location":{"id":"doi:10.1109/icaice63571.2024.10864055","doi":"https://doi.org/10.1109/icaice63571.2024.10864055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaice63571.2024.10864055","pdf_url":null,"source":{"id":"https://openalex.org/S4363608137","display_name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","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":null,"display_name":"Wei Shao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Shao","raw_affiliation_strings":["NARI Technology Co., Ltd.,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NARI Technology Co., Ltd.,Nanjing,China","institution_ids":["https://openalex.org/I4210118629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019517121","display_name":"Shanshan Hong","orcid":"https://orcid.org/0000-0002-7054-5335","observed_orcids":["https://orcid.org/0000-0002-7054-5335"]},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Hong","raw_affiliation_strings":["NARI Technology Co., Ltd.,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NARI Technology Co., Ltd.,Nanjing,China","institution_ids":["https://openalex.org/I4210118629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061772046","display_name":"Jian Chun Guo","orcid":"https://orcid.org/0000-0002-9016-9912","observed_orcids":["https://orcid.org/0000-0002-9016-9912"]},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Guo","raw_affiliation_strings":["NARI Technology Co., Ltd.,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NARI Technology Co., Ltd.,Nanjing,China","institution_ids":["https://openalex.org/I4210118629"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dandan Xie","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210118629","display_name":"NARI Group (China)","ror":"https://ror.org/02egn3136","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Xie","raw_affiliation_strings":["NARI Technology Co., Ltd.,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NARI Technology Co., Ltd.,Nanjing,China","institution_ids":["https://openalex.org/I4210118629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210118629"],"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":"75","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9994999766349792,"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":0.9994999766349792,"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":0.00019999999494757503,"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":9.999999747378752e-05,"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/transient-stability-assessment","display_name":"transient stability assessment","score":0.753000020980835},{"id":"https://openalex.org/keywords/big-data-analytics","display_name":"big data analytics","score":0.9020000100135803},{"id":"https://openalex.org/keywords/causality-analysis","display_name":"causal analysis","score":0.8870000243186951},{"id":"https://openalex.org/keywords/fault-clustering","display_name":"fault clustering","score":0.7730000019073486},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"knowledge base","score":0.843999981880188},{"id":"https://openalex.org/keywords/multiple-faults","display_name":"multiple faults","score":0.7009999752044678},{"id":"https://openalex.org/keywords/power-system-stability","display_name":"power system stability","score":0.4519999921321869}],"concepts":[{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.7069638967514038},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.662970781326294},{"id":"https://openalex.org/C2989121073","wikidata":"https://www.wikidata.org/wiki/Q1309019","display_name":"Transient analysis","level":3,"score":0.6449583172798157},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6376755237579346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5896406769752502},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.46052321791648865},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4508783221244812},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4359620213508606},{"id":"https://openalex.org/C85761212","wikidata":"https://www.wikidata.org/wiki/Q1974593","display_name":"Transient response","level":2,"score":0.21011805534362793},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.19297564029693604},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15004447102546692},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14715352654457092},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09626227617263794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08989712595939636},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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":1,"locations":[{"id":"doi:10.1109/icaice63571.2024.10864055","doi":"https://doi.org/10.1109/icaice63571.2024.10864055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaice63571.2024.10864055","pdf_url":null,"source":{"id":"https://openalex.org/S4363608137","display_name":"International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Artificial Intelligence and Computer Engineering (ICAICE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.75,"display_name":"Affordable and clean energy"},{"id":"https://metadata.un.org/sdg/9","score":0.7207000255584717,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2046868796","https://openalex.org/W2056114557","https://openalex.org/W2064769840","https://openalex.org/W2563786098"],"related_works":["https://openalex.org/W4389988464","https://openalex.org/W4390418491","https://openalex.org/W4285244772","https://openalex.org/W4388843957","https://openalex.org/W2328476937","https://openalex.org/W3156299931","https://openalex.org/W7135205043","https://openalex.org/W6962753065","https://openalex.org/W2808249184","https://openalex.org/W4312578694"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"traditional":[3],"causal":[4,27,125],"analysis":[5,10,28,49,126],"method":[6,11,17,129],"and":[7,35,57,97,146,150,160],"big":[8,36],"data":[9,37],"are":[12,43,75],"integrated":[13],"to":[14,18,55,78,82],"propose":[15],"a":[16,32,84,140,151],"perform":[19],"power":[20,85,98,134,143,156],"grid":[21,86,99,135,144,157],"transient":[22,40,87,100,136,158],"stability":[23,41,63,88,101,137,147],"assessment":[24,89,102],"based":[25,103],"on":[26,104],"results":[29,53,123],"for":[30,108,142,154],"building":[31],"sample":[33],"database":[34],"analysis.":[38],"Firstly,":[39],"modes":[42,64],"extracted":[44],"from":[45],"massive":[46],"historical":[47],"quantitative":[48],"or":[50],"simulation":[51],"calculation":[52,131],"according":[54,77],"faults":[56,67,74,110],"take":[58],"union":[59],"set":[60],"of":[61,65,124,133],"the":[62,73,79,105,122],"all":[66],"as":[68],"key":[69],"feature":[70,80],"variables.":[71],"Secondly,":[72],"clustered":[76],"variables":[81],"generate":[83],"knowledge":[90,106,115],"base.":[91],"Finally,":[92],"carry":[93],"out":[94],"automatic":[95],"matching":[96],"base":[107],"multiple":[109],"under":[111],"current":[112],"mode.":[113],"Meanwhile,":[114],"iteration":[116],"is":[117],"conducted":[118],"by":[119],"comparing":[120],"with":[121],"method.":[127],"This":[128],"improves":[130],"speed":[132],"assessment,":[138],"provides":[139],"basis":[141],"safety":[145,159],"rapid":[148],"decision-making":[149],"new":[152],"idea":[153],"analyzing":[155],"stability.":[161]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-02-07T00:00:00"}