{"id":"https://openalex.org/W4388878441","doi":"https://doi.org/10.1109/access.2023.3335598","title":"A Distribution Network State Estimation Method With Non-Gaussian Noise Based on Parallel Particle Filter","display_name":"A Distribution Network State Estimation Method With Non-Gaussian Noise Based on Parallel Particle Filter","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388878441","doi":"https://doi.org/10.1109/access.2023.3335598"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3335598","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3335598","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10325509.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":null,"license_id":null,"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/ielx7/6287639/6514899/10325509.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051687005","display_name":"Haotian Ma","orcid":"https://orcid.org/0009-0003-9277-1506"},"institutions":[{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Ma","raw_affiliation_strings":["China Electric Power Research Institute Company Ltd., Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-9277-1506","affiliations":[{"raw_affiliation_string":"China Electric Power Research Institute Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4392738113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044277572","display_name":"Wanxing Sheng","orcid":"https://orcid.org/0000-0002-1908-2902"},"institutions":[{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanxing Sheng","raw_affiliation_strings":["China Electric Power Research Institute Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Electric Power Research Institute Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4392738113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073364420","display_name":"Keyan Liu","orcid":"https://orcid.org/0000-0003-4709-4270"},"institutions":[{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyan Liu","raw_affiliation_strings":["China Electric Power Research Institute Company Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Electric Power Research Institute Company Ltd., Beijing, China","institution_ids":["https://openalex.org/I4392738113"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8507,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70654282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"133034","last_page":"133048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11220","display_name":"Water Systems and Optimization","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9825999736785889,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9793999791145325,"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/computer-science","display_name":"Computer science","score":0.7499537467956543},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.6897951364517212},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.6703019142150879},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.6103200912475586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5721002221107483},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.5531222820281982},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.542000949382782},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5031000971794128},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.48484909534454346},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.47341781854629517},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4611726999282837},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45810675621032715},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4472464621067047},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.37234431505203247},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.3150453567504883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19674614071846008},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10495302081108093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7499537467956543},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.6897951364517212},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.6703019142150879},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.6103200912475586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5721002221107483},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.5531222820281982},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.542000949382782},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5031000971794128},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.48484909534454346},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.47341781854629517},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4611726999282837},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45810675621032715},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4472464621067047},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.37234431505203247},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.3150453567504883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19674614071846008},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10495302081108093},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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":2,"locations":[{"id":"doi:10.1109/access.2023.3335598","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3335598","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10325509.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:05a3d0b4ccc441a7a89f631de85e750b","is_oa":true,"landing_page_url":"https://doaj.org/article/05a3d0b4ccc441a7a89f631de85e750b","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 11, Pp 133034-133048 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3335598","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3335598","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10325509.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G3133896232","display_name":null,"funder_award_id":"2021YFB2401300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8607830349","display_name":null,"funder_award_id":"10.1109","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320326707","display_name":"State Grid Corporation of China","ror":"https://ror.org/05twwhs70"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388878441.pdf","grobid_xml":"https://content.openalex.org/works/W4388878441.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1598852905","https://openalex.org/W2081920865","https://openalex.org/W2083382352","https://openalex.org/W2091154605","https://openalex.org/W2433375360","https://openalex.org/W2566804626","https://openalex.org/W2594273119","https://openalex.org/W2612801191","https://openalex.org/W2620656449","https://openalex.org/W2740594944","https://openalex.org/W2761338899","https://openalex.org/W2763375416","https://openalex.org/W2767646790","https://openalex.org/W2776874440","https://openalex.org/W2799700248","https://openalex.org/W2890369708","https://openalex.org/W2900620189","https://openalex.org/W2907492528","https://openalex.org/W2942231644","https://openalex.org/W2954493833","https://openalex.org/W2963496067","https://openalex.org/W2963590654","https://openalex.org/W2963653708","https://openalex.org/W2963750652","https://openalex.org/W2964066500","https://openalex.org/W2969215934","https://openalex.org/W2973158718","https://openalex.org/W2998896543","https://openalex.org/W2999751133","https://openalex.org/W3014235264","https://openalex.org/W3044480760","https://openalex.org/W3083847148","https://openalex.org/W3099930155","https://openalex.org/W3162733320","https://openalex.org/W3203294349","https://openalex.org/W3203703743","https://openalex.org/W3204993298","https://openalex.org/W3213272556","https://openalex.org/W4205303226","https://openalex.org/W4205591199","https://openalex.org/W4214491867","https://openalex.org/W4281674107","https://openalex.org/W4294691187","https://openalex.org/W4298003829","https://openalex.org/W4313410357","https://openalex.org/W4384563454"],"related_works":["https://openalex.org/W2927378857","https://openalex.org/W2801696468","https://openalex.org/W2406829934","https://openalex.org/W1824810860","https://openalex.org/W2185006999","https://openalex.org/W1963859303","https://openalex.org/W2162253570","https://openalex.org/W2364044215","https://openalex.org/W1583020711","https://openalex.org/W2138381686"],"abstract_inverted_index":{"The":[0],"particle":[1,41,54,121,134],"filter":[2,42,156],"(PF)":[3],"algorithm":[4,21],"is":[5,44,96,140],"a":[6,34,84],"powerful":[7],"method":[8,37,95,150],"for":[9,137,174],"tackling":[10],"non-Gaussian":[11],"noise":[12],"interference":[13],"in":[14,55],"distribution":[15,170],"network":[16,171],"state":[17,35,127,172],"measurement.":[18],"However,":[19],"this":[20],"suffers":[22],"from":[23,160],"slow":[24],"solving":[25],"speed":[26],"and":[27,75,89,123,177],"lengthy":[28],"calculation":[29],"time.":[30],"To":[31],"overcome":[32],"this,":[33],"estimation":[36,124,173],"based":[38],"on":[39],"parallel":[40,67,138],"(PPF)":[43],"proposed,":[45],"which":[46,164],"leverages":[47],"the":[48,56,66,100,117,120,130,132,143,148,157,161,166,169,175],"independent":[49],"computation":[50,139],"features":[51],"of":[52,69,102,126,129,168],"each":[53],"PF":[57],"model":[58],"to":[59,82,98,110,116,154],"improve":[60],"computational":[61],"efficiency.":[62],"This":[63],"study":[64],"utilizes":[65],"architecture":[68],"Compute":[70],"Unified":[71],"Device":[72],"Architecture":[73],"(CUDA)":[74],"General":[76],"Purpose":[77],"Graphics":[78],"Processing":[79],"Units":[80],"(GPGPU)":[81],"establish":[83],"one-to-one":[85],"correspondence":[86],"between":[87,119],"particles":[88],"computing":[90],"threads.":[91],"An":[92],"improved":[93],"rejecting-resampling":[94],"introduced":[97],"solve":[99],"problem":[101],"low":[103],"execution":[104],"efficiency":[105],"caused":[106],"by":[107],"unmerged":[108],"access":[109],"GPGPU":[111],"memory.":[112],"In":[113],"addition,":[114],"according":[115],"relationship":[118],"number":[122,135],"accuracy":[125,176],"variable":[128],"PPF,":[131],"optimal":[133],"suitable":[136],"solved.":[141],"Ultimately,":[142],"simulation":[144],"results":[145],"indicate":[146],"that":[147],"proposed":[149],"can":[151],"be":[152],"used":[153],"effectively":[155],"non-Gaussian-colored":[158],"noises":[159],"collected":[162],"data,":[163],"meets":[165],"requirements":[167],"real-time":[178],"performance.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}