{"id":"https://openalex.org/W4409475366","doi":"https://doi.org/10.1109/iceaai64185.2025.10957401","title":"Research on a Data-Driven Safety Risk Assessment Model for Electrical Switching Operations in Substations","display_name":"Research on a Data-Driven Safety Risk Assessment Model for Electrical Switching Operations in Substations","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4409475366","doi":"https://doi.org/10.1109/iceaai64185.2025.10957401"},"language":"en","primary_location":{"id":"doi:10.1109/iceaai64185.2025.10957401","doi":"https://doi.org/10.1109/iceaai64185.2025.10957401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceaai64185.2025.10957401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electrical Automation and Artificial Intelligence (ICEAAI)","raw_type":"proceedings-article"},"volume":null,"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/A5100343066","display_name":"Junjie Zhang","orcid":"https://orcid.org/0009-0003-7814-7889","observed_orcids":["https://orcid.org/0009-0003-7814-7889"]},"institutions":[{"id":"https://openalex.org/I4405285022","display_name":"Guizhou Power Grid Co., Ltd. (China)","ror":"https://ror.org/04n5vvh78","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405285022","https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Zhang","raw_affiliation_strings":["Guizhou Power Grid Co., Ltd. Electric Power Science Research Institute,Guiyang,Guizhou,China,550002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou Power Grid Co., Ltd. Electric Power Science Research Institute,Guiyang,Guizhou,China,550002","institution_ids":["https://openalex.org/I4405285022"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lei Zheng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405285022","display_name":"Guizhou Power Grid Co., Ltd. (China)","ror":"https://ror.org/04n5vvh78","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405285022","https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zheng","raw_affiliation_strings":["Guizhou Power Grid Co., Ltd. Zunyi Power Supply Bureau,Zunyi,Guizhou,China,563000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou Power Grid Co., Ltd. Zunyi Power Supply Bureau,Zunyi,Guizhou,China,563000","institution_ids":["https://openalex.org/I4405285022"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009003536","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0002-6339-1390","observed_orcids":["https://orcid.org/0000-0002-6339-1390"]},"institutions":[{"id":"https://openalex.org/I4405285022","display_name":"Guizhou Power Grid Co., Ltd. (China)","ror":"https://ror.org/04n5vvh78","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405285022","https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["Guizhou Power Grid Co., Ltd. Zunyi Power Supply Bureau,Zunyi,Guizhou,China,563000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou Power Grid Co., Ltd. Zunyi Power Supply Bureau,Zunyi,Guizhou,China,563000","institution_ids":["https://openalex.org/I4405285022"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026905285","display_name":"Ziya Zhou","orcid":"https://orcid.org/0000-0002-8113-9842","observed_orcids":["https://orcid.org/0000-0002-8113-9842"]},"institutions":[{"id":"https://openalex.org/I4405285022","display_name":"Guizhou Power Grid Co., Ltd. (China)","ror":"https://ror.org/04n5vvh78","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405285022","https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziya Zhou","raw_affiliation_strings":["Guizhou Power Grid Co., Ltd. Liability Company Tongren Power Supply Bureau,Tongren,Guizhou,China,554300"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou Power Grid Co., Ltd. Liability Company Tongren Power Supply Bureau,Tongren,Guizhou,China,554300","institution_ids":["https://openalex.org/I4405285022"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030181618","display_name":"Yuxiao Zhang","orcid":"https://orcid.org/0000-0001-7617-9279","observed_orcids":["https://orcid.org/0000-0001-7617-9279","https://orcid.org/0009-0008-9120-547X"]},"institutions":[{"id":"https://openalex.org/I4405285022","display_name":"Guizhou Power Grid Co., Ltd. (China)","ror":"https://ror.org/04n5vvh78","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405285022","https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiao Zhang","raw_affiliation_strings":["Guizhou Power Grid Co., Ltd. Liability Company Tongren Power Supply Bureau,Tongren,Guizhou,China,554300"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guizhou Power Grid Co., Ltd. Liability Company Tongren Power Supply Bureau,Tongren,Guizhou,China,554300","institution_ids":["https://openalex.org/I4405285022"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405285022"],"apc_list":null,"apc_paid":null,"fwci":6.2956,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94876269,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1006","last_page":"1010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14368","display_name":"Evaluation and Optimization Models","score":0.7910000085830688,"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"}},"topics":[{"id":"https://openalex.org/T14368","display_name":"Evaluation and Optimization Models","score":0.7910000085830688,"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"}},{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.1242000013589859,"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/T12676","display_name":"Machine Learning and ELM","score":0.03139999881386757,"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/safety-risk-assessment","display_name":"safety risk assessment","score":0.7749999761581421},{"id":"https://openalex.org/keywords/substations","display_name":"substations","score":0.9509999752044678},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"extreme learning machine","score":0.9190000295639038},{"id":"https://openalex.org/keywords/risk-prediction","display_name":"risk prediction","score":0.734000027179718},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.9380000233650208},{"id":"https://openalex.org/keywords/power-system-safety","display_name":"power system safety","score":0.5839999914169312},{"id":"https://openalex.org/keywords/early-risk-detection","display_name":"early risk detection","score":0.5590000152587891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5085307359695435},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.49108171463012695},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4818890690803528},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3320677578449249},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.246369868516922},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1781402826309204},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.10809952020645142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceaai64185.2025.10957401","doi":"https://doi.org/10.1109/iceaai64185.2025.10957401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceaai64185.2025.10957401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electrical Automation and Artificial Intelligence (ICEAAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":1.0,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"},{"score":0.5690000057220459,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2029631366","https://openalex.org/W2111072639","https://openalex.org/W3103897629","https://openalex.org/W3148181069","https://openalex.org/W3157976194","https://openalex.org/W4377983099","https://openalex.org/W4390405202","https://openalex.org/W4390418635","https://openalex.org/W4393115836","https://openalex.org/W4401253737","https://openalex.org/W4403022489"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"the":[1,10,24,28,50,96,100,128,136,140,149,161,182,209,220,231],"continuous":[2],"development":[3,101],"and":[4,59,118,132,143,226,234],"increasing":[5],"complexity":[6],"of":[7,12,27,52,102,124,135,163,169,212,223,236],"power":[8,29,217,237],"systems,":[9,218,238],"safety":[11,40,150,210],"switching":[13,46,164,214],"operations":[14,47,215],"in":[15,159,200,216],"substations":[16],"has":[17],"become":[18],"an":[19,53,103,111,167,204],"important":[20],"issue":[21],"for":[22,44,207,230],"ensuring":[23],"stable":[25],"operation":[26,233],"grid.":[30],"In":[31],"response":[32],"to":[33,72,94,99,179],"this":[34,36,201],"issue,":[35],"paper":[37,202],"proposes":[38],"a":[39,119],"risk":[41,151],"prediction":[42,152,189],"method":[43],"electrical":[45,213],"based":[48,154],"on":[49,155],"integration":[51],"Improved":[54,104],"Black":[55,66,105],"Kite":[56,67,106],"Algorithm":[57,69],"(IBKA)":[58],"Extreme":[60],"Learning":[61],"Machine":[62],"(ELM).":[63],"The":[64,196],"traditional":[65,174,180],"Optimization":[68],"(BKA)":[70],"tends":[71],"fall":[73],"into":[74],"local":[75,116,133],"optima":[76],"when":[77],"solving":[78],"high-dimensional":[79],"complex":[80],"problems,":[81],"which":[82,125,171],"affects":[83],"optimization":[84,141],"performance.":[85],"To":[86],"address":[87],"this,":[88],"several":[89],"strategies":[90],"have":[91],"been":[92],"applied":[93],"improve":[95],"BKA,":[97],"leading":[98],"Algorithm.":[107],"These":[108],"improvements":[109],"include":[110],"adaptive":[112],"search":[113,130],"strategy,":[114],"enhanced":[115],"optimization,":[117],"hybrid":[120],"intelligent":[121],"mechanism,":[122],"all":[123],"effectively":[126],"enhance":[127],"global":[129],"capability":[131],"convergence":[134],"IBKA,":[137],"thus":[138],"improving":[139],"accuracy":[142,168,190],"efficiency.":[144],"Experimental":[145],"results":[146],"show":[147],"that":[148],"model":[153,184,198],"IBKA-ELM":[156,183,197],"performs":[157],"excellently":[158],"predicting":[160,208],"risks":[162,211,225],"operations,":[165],"achieving":[166],"0.926,":[170],"significantly":[172],"outperforms":[173],"machine":[175],"learning":[176],"models.":[177],"Compared":[178],"models,":[181],"not":[185],"only":[186],"achieves":[187],"higher":[188],"but":[191],"also":[192],"demonstrates":[193],"stronger":[194],"robustness.":[195],"proposed":[199],"provides":[203],"effective":[205],"solution":[206],"enabling":[219],"early":[221],"identification":[222],"potential":[224],"offering":[227],"decision":[228],"support":[229],"safe":[232],"management":[235],"with":[239],"broad":[240],"application":[241],"prospects.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-09T09:14:12.587421","created_date":"2025-10-10T00:00:00"}