{"id":"https://openalex.org/W3023676370","doi":"https://doi.org/10.1109/access.2020.2991263","title":"Recurrent Graph Convolutional Network-Based Multi-Task Transient Stability Assessment Framework in Power System","display_name":"Recurrent Graph Convolutional Network-Based Multi-Task Transient Stability Assessment Framework in Power System","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3023676370","doi":"https://doi.org/10.1109/access.2020.2991263","mag":"3023676370"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2991263","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991263","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09081965.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/ielx7/6287639/8948470/09081965.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077199750","display_name":"Jiyu Huang","orcid":"https://orcid.org/0000-0001-7410-5567"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiyu Huang","raw_affiliation_strings":["School of Electric Power, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7410-5567","affiliations":[{"raw_affiliation_string":"School of Electric Power, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103107194","display_name":"Lin Guan","orcid":"https://orcid.org/0000-0002-2625-707X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Guan","raw_affiliation_strings":["School of Electric Power, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2625-707X","affiliations":[{"raw_affiliation_string":"School of Electric Power, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020256309","display_name":"Yinsheng Su","orcid":"https://orcid.org/0000-0002-1081-8311"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinsheng Su","raw_affiliation_strings":["CSG Power Dispatching and Control Center, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1081-8311","affiliations":[{"raw_affiliation_string":"CSG Power Dispatching and Control Center, Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020769867","display_name":"Haicheng Yao","orcid":"https://orcid.org/0000-0002-9207-4570"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haicheng Yao","raw_affiliation_strings":["CSG Power Dispatching and Control Center, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9207-4570","affiliations":[{"raw_affiliation_string":"CSG Power Dispatching and Control Center, Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086326431","display_name":"Mengxuan Guo","orcid":"https://orcid.org/0000-0003-1755-7596"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengxuan Guo","raw_affiliation_strings":["School of Electric Power, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1755-7596","affiliations":[{"raw_affiliation_string":"School of Electric Power, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102900628","display_name":"Zhi Li Zhong","orcid":"https://orcid.org/0000-0003-0777-3500"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Zhong","raw_affiliation_strings":["School of Electric Power, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0777-3500","affiliations":[{"raw_affiliation_string":"School of Electric Power, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077199750"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.0345,"has_fulltext":true,"cited_by_count":104,"citation_normalized_percentile":{"value":0.97057492,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"93283","last_page":"93296"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10305","display_name":"Power System Optimization and Stability","score":0.9995999932289124,"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":0.9995999932289124,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9973000288009644,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.8267415761947632},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6087103486061096},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5052786469459534},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4821555018424988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37177056074142456},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3491514325141907},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3443237245082855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3421127200126648},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.12049439549446106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8267415761947632},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6087103486061096},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5052786469459534},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4821555018424988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37177056074142456},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3491514325141907},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3443237245082855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3421127200126648},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.12049439549446106},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2991263","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991263","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09081965.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:8eda03f242284bb8a0e864993cc18ba3","is_oa":true,"landing_page_url":"https://doaj.org/article/8eda03f242284bb8a0e864993cc18ba3","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 93283-93296 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2991263","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2991263","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09081965.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/G8123714093","display_name":null,"funder_award_id":"ZDKJXM20180084","funder_id":"https://openalex.org/F4320323192","funder_display_name":"China Southern Power Grid"}],"funders":[{"id":"https://openalex.org/F4320323192","display_name":"China Southern Power Grid","ror":"https://ror.org/03hkh9419"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023676370.pdf","grobid_xml":"https://content.openalex.org/works/W3023676370.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W764231229","https://openalex.org/W1522301498","https://openalex.org/W1578978182","https://openalex.org/W1614862348","https://openalex.org/W1763243278","https://openalex.org/W1836465849","https://openalex.org/W1977989176","https://openalex.org/W1979170328","https://openalex.org/W2041251276","https://openalex.org/W2056964205","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2163605009","https://openalex.org/W2169820422","https://openalex.org/W2187089797","https://openalex.org/W2194607173","https://openalex.org/W2251324968","https://openalex.org/W2507680016","https://openalex.org/W2540406226","https://openalex.org/W2606780347","https://openalex.org/W2609819072","https://openalex.org/W2611110992","https://openalex.org/W2755133513","https://openalex.org/W2799024262","https://openalex.org/W2807021761","https://openalex.org/W2894945872","https://openalex.org/W2897606695","https://openalex.org/W2897637621","https://openalex.org/W2904532980","https://openalex.org/W2905833087","https://openalex.org/W2913373449","https://openalex.org/W2913976925","https://openalex.org/W2949117887","https://openalex.org/W2952254971","https://openalex.org/W2962946486","https://openalex.org/W2963596039","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W2964439830","https://openalex.org/W2969661162","https://openalex.org/W2970971581","https://openalex.org/W2974072534","https://openalex.org/W2986711944","https://openalex.org/W2993645768","https://openalex.org/W3003296523","https://openalex.org/W3006047736","https://openalex.org/W3100848837","https://openalex.org/W3102554652","https://openalex.org/W3209042722","https://openalex.org/W4295312788","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2488129135","https://openalex.org/W4312219546","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664"],"abstract_inverted_index":{"Reliable":[0],"online":[1],"transient":[2],"stability":[3,127],"assessment":[4],"(TSA)":[5],"is":[6,59],"fundamentally":[7],"required":[8],"for":[9],"power":[10,46],"system":[11,47,153,158],"operation":[12],"security.":[13],"Compared":[14],"with":[15,102,144],"time-costly":[16],"classical":[17],"digital":[18],"simulation":[19],"methods,":[20],"data-driven":[21],"deep":[22],"learning":[23,119],"(DL)":[24],"methods":[25],"provide":[26],"a":[27,32,54,117],"promising":[28],"technique":[29],"to":[30,42,85],"build":[31],"TSA":[33,68],"model.":[34],"However,":[35],"general":[36],"DL":[37],"models":[38],"show":[39],"poor":[40],"adaptability":[41],"the":[43,71,77,87,94,98,103,107,111,138,142,160,163],"variation":[44],"of":[45,126,162],"topology.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"propose":[53,116],"new":[55],"graph-based":[56],"framework,":[57,139],"which":[58,122],"termed":[60],"as":[61,130,132,169,171],"recurrent":[62,88],"graph":[63,72,89],"convolutional":[64,73,90],"network":[65,74,91],"based":[66],"multi-task":[67,118],"(RGCN-MT-TSA).":[69],"Both":[70],"(GCN)":[75],"and":[76,140,154],"long":[78],"short-term":[79],"memory":[80],"(LSTM)":[81],"unit":[82],"are":[83],"aggregated":[84],"form":[86],"(RGCN),":[92],"where":[93],"GCN":[95],"explicitly":[96],"integrate":[97],"bus":[99],"(node)":[100],"states":[101],"topological":[104],"characteristics":[105],"while":[106],"LSTM":[108],"subsequently":[109],"captures":[110],"temporal":[112],"features.":[113],"We":[114],"also":[115],"(MTL)":[120],"scheme,":[121],"provides":[123],"joint":[124],"training":[125],"classification":[128],"(Task-1)":[129],"well":[131,170],"critical":[133],"generator":[134],"identification":[135],"(Task-2)":[136],"in":[137],"accelerate":[141],"process":[143],"parallel":[145],"computing.":[146],"Test":[147],"results":[148],"on":[149],"IEEE":[150,155],"39":[151],"Bus":[152,157],"300":[156],"indicate":[159],"superiority":[161],"proposed":[164],"scheme":[165],"over":[166],"existing":[167],"models,":[168],"its":[172],"robustness":[173],"under":[174],"various":[175],"scenarios.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-30T09:04:40.226872","created_date":"2025-10-10T00:00:00"}
