{"id":"https://openalex.org/W4391424216","doi":"https://doi.org/10.1109/ias54024.2023.10406815","title":"A GPU-Based Model for Composite Power System Reliability Evaluation and Sensitivity Analysis","display_name":"A GPU-Based Model for Composite Power System Reliability Evaluation and Sensitivity Analysis","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4391424216","doi":"https://doi.org/10.1109/ias54024.2023.10406815"},"language":"en","primary_location":{"id":"doi:10.1109/ias54024.2023.10406815","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ias54024.2023.10406815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Industry Applications Society Annual Meeting (IAS)","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/A5016271844","display_name":"Joshua Olowolaju","orcid":"https://orcid.org/0000-0002-7345-739X"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Olowolaju","raw_affiliation_strings":["University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno,NV,U.S.A.,89557"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno,NV,U.S.A.,89557","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069181439","display_name":"Jitendra Thapa","orcid":"https://orcid.org/0000-0002-8008-9791"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jitendra Thapa","raw_affiliation_strings":["Michigan State University,Department of Electrical and Computer Engineering,East Lansing,MI,48824"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,Department of Electrical and Computer Engineering,East Lansing,MI,48824","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104883827","display_name":"Rakib Hossain","orcid":"https://orcid.org/0000-0003-1748-6927"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rakib Hossain","raw_affiliation_strings":["University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno,NV,U.S.A.,89557"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno,NV,U.S.A.,89557","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000628175","display_name":"Mohammed Benidris","orcid":"https://orcid.org/0000-0002-8731-8913"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammed Benidris","raw_affiliation_strings":["Michigan State University,Department of Electrical and Computer Engineering,East Lansing,MI,48824"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,Department of Electrical and Computer Engineering,East Lansing,MI,48824","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072772883","display_name":"Hanif Livani","orcid":"https://orcid.org/0000-0002-7043-2728"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanif Livani","raw_affiliation_strings":["University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno,NV,U.S.A.,89557"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nevada,Department of Electrical &#x0026; Biomedical Engineering,Reno,NV,U.S.A.,89557","institution_ids":["https://openalex.org/I134113660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4418,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.82062299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11941","display_name":"Power System Reliability and Maintenance","score":0.9998999834060669,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9998999834060669,"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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9972000122070312,"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/T12804","display_name":"Thermal Analysis in Power Transmission","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.7884141206741333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7307389378547668},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.724357008934021},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6493326425552368},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.5765037536621094},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.571506679058075},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4607705771923065},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.42657190561294556},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4194396436214447},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31724241375923157},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.16643089056015015},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12109100818634033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11739739775657654},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.09457913041114807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09025031328201294},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08107972145080566}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7884141206741333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7307389378547668},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.724357008934021},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6493326425552368},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.5765037536621094},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.571506679058075},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4607705771923065},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.42657190561294556},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4194396436214447},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31724241375923157},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.16643089056015015},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12109100818634033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11739739775657654},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.09457913041114807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09025031328201294},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08107972145080566},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias54024.2023.10406815","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ias54024.2023.10406815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1532818563","https://openalex.org/W1968160317","https://openalex.org/W1968689947","https://openalex.org/W2010291453","https://openalex.org/W2053470766","https://openalex.org/W2176991655","https://openalex.org/W2528357447","https://openalex.org/W2913702598","https://openalex.org/W2946134050","https://openalex.org/W2985565546","https://openalex.org/W3082868846","https://openalex.org/W3157832372","https://openalex.org/W3196099040","https://openalex.org/W3200985993","https://openalex.org/W4213389720","https://openalex.org/W4316660575","https://openalex.org/W6719427189","https://openalex.org/W6755425979","https://openalex.org/W6791741104"],"related_works":["https://openalex.org/W2393870460","https://openalex.org/W2254578859","https://openalex.org/W4284894156","https://openalex.org/W2161803855","https://openalex.org/W2378757965","https://openalex.org/W3110774753","https://openalex.org/W2134539662","https://openalex.org/W2059096050","https://openalex.org/W4224903346","https://openalex.org/W2768748907"],"abstract_inverted_index":{"Decarbonizing":[0],"the":[1,29,81,84,95,106,116,125],"grid":[2,37],"by":[3],"incorporating":[4],"more":[5,14,128],"renewable":[6],"energy":[7],"sources":[8],"has":[9],"made":[10],"power":[11,25,36,91],"system":[12,26,92,97],"reliability":[13,27,75,98,134],"critical.":[15],"Although":[16],"Monte":[17,60,118],"Carlo":[18,61,119],"simulation":[19,120],"is":[20,103,113],"a":[21,41,46,58],"traditional":[22],"method":[23],"for":[24,87,141],"assessment,":[28],"computational":[30],"costs":[31],"limit":[32],"its":[33],"utility":[34],"as":[35],"complexity":[38],"increases.":[39],"As":[40],"result,":[42],"this":[43,78],"study":[44,79],"introduces":[45],"Graphics":[47],"Processing":[48],"Unit":[49],"(GPU)":[50],"based":[51],"Convolution":[52],"Neural":[53],"Network":[54],"(CNN)":[55],"model":[56,64,86,102,126],"to":[57,65,115],"non-sequential":[59],"Simulation":[62],"(MCS)":[63],"improve":[66],"computation":[67],"efficiency":[68],"while":[69,136],"maintaining":[70,137],"high":[71],"evaluation":[72,139],"accuracy":[73,140],"during":[74,133],"evaluation.":[76],"Furthermore,":[77],"explores":[80],"viability":[82],"of":[83,90],"proposed":[85,101],"sensitivity":[88,142],"analysis":[89,135],"components":[93],"on":[94],"overall":[96],"condition.":[99],"The":[100],"tested":[104],"using":[105],"IEEE":[107],"Reliability":[108],"Test":[109],"System":[110],"79":[111],"and":[112],"compared":[114],"baseline":[117],"approach.":[121],"Results":[122],"show":[123],"that":[124],"provides":[127],"than":[129],"80%":[130],"time":[131],"savings":[132],"good":[138],"assessments.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
