{"id":"https://openalex.org/W3155534708","doi":"https://doi.org/10.1109/ipccc50635.2020.9391545","title":"Research on Power Quality Data Placement Strategy Based on Improved Particle Swarm Optimization Algorithm","display_name":"Research on Power Quality Data Placement Strategy Based on Improved Particle Swarm Optimization Algorithm","publication_year":2020,"publication_date":"2020-11-06","ids":{"openalex":"https://openalex.org/W3155534708","doi":"https://doi.org/10.1109/ipccc50635.2020.9391545","mag":"3155534708"},"language":"en","primary_location":{"id":"doi:10.1109/ipccc50635.2020.9391545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc50635.2020.9391545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC)","raw_type":"proceedings-article"},"type":"article","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/A5100695483","display_name":"Chengdong Wang","orcid":"https://orcid.org/0000-0003-1292-0405"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengdong Wang","raw_affiliation_strings":["School of Information, North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067626381","display_name":"Jun Fang","orcid":"https://orcid.org/0000-0001-7427-4723"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Fang","raw_affiliation_strings":["School of Information, North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101108985","display_name":"Zhuofeng Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuofeng Zhao","raw_affiliation_strings":["School of Information, North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025795919","display_name":"Bo Zhao","orcid":"https://orcid.org/0000-0002-0768-3444"},"institutions":[{"id":"https://openalex.org/I1456306","display_name":"North China University of Technology","ror":"https://ror.org/01nky7652","country_code":"CN","type":"education","lineage":["https://openalex.org/I1456306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhao","raw_affiliation_strings":["School of Information, North China University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information, North China University of Technology, Beijing, China","institution_ids":["https://openalex.org/I1456306"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100695483"],"corresponding_institution_ids":["https://openalex.org/I1456306"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24718308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T14280","display_name":"Big Data Technologies and Applications","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9678000211715698,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7813467979431152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6747574210166931},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.630418062210083},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6170692443847656},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5513187050819397},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5174254179000854},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5116263031959534},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4661475419998169},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.4412313997745514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12521666288375854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12198695540428162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11925747990608215}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7813467979431152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6747574210166931},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.630418062210083},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6170692443847656},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5513187050819397},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5174254179000854},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5116263031959534},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4661475419998169},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.4412313997745514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12521666288375854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12198695540428162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11925747990608215},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipccc50635.2020.9391545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc50635.2020.9391545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1494464477","https://openalex.org/W1970979311","https://openalex.org/W2327929672","https://openalex.org/W2343934393","https://openalex.org/W2905674424","https://openalex.org/W4248419975"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2133833450","https://openalex.org/W2349895019","https://openalex.org/W2070977815","https://openalex.org/W2116074880","https://openalex.org/W2950423922","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2972744589"],"abstract_inverted_index":{"For":[0],"the":[1,8,14,21,24,31,35,39,42,45,49,55,68,73,108,129,137,149,154],"national":[2],"grid":[3,26,51],"power":[4],"quality":[5],"monitoring":[6,12,36,75],"system,":[7,40,76],"effective":[9],"integration":[10],"of":[11,17,34,44,48,72,116],"terminals,":[13],"master":[15],"stations":[16],"each":[18],"network":[19],"and":[20,23,41,66,77,119],"province":[22],"state":[25,50],"data":[27,37,52,69,80,146,155],"center":[28,53],"work":[29],"together,":[30],"reasonable":[32],"placement":[33,70,81,147,156],"in":[38,107],"relief":[43],"calculation":[46],"pressure":[47],"are":[54],"project":[56],"research":[57],"focus.":[58],"From":[59],"a":[60,79,113],"global":[61],"perspective,":[62],"this":[63],"paper":[64,92],"models":[65],"describes":[67],"problem":[71],"harmonic":[74],"proposes":[78,93],"strategy":[82,157],"based":[83,99,158],"on":[84,100,159],"an":[85,94],"improved":[86,160],"particle":[87,130,161],"swarm":[88,131,162],"optimization":[89,132,139,163],"algorithm.":[90],"This":[91],"initial":[95,109,123],"population":[96,110,124],"generation":[97,125],"algorithm":[98,126,164],"Markov":[101],"random":[102],"walk,":[103],"which":[104,134],"enables":[105],"individuals":[106],"to":[111],"have":[112],"certain":[114],"degree":[115],"clustering":[117],"accuracy":[118],"strong":[120],"diversity.":[121],"The":[122],"cooperates":[127],"with":[128,144],"algorithm,":[133],"effectively":[135],"enhances":[136],"algorithm's":[138],"ability.":[140],"Through":[141],"comparative":[142],"experiments":[143],"traditional":[145],"strategies,":[148],"experimental":[150],"results":[151],"show":[152],"that":[153],"has":[165],"higher":[166],"efficiency.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}