{"id":"https://openalex.org/W2971170842","doi":"https://doi.org/10.1109/icinfa.2018.8812571","title":"Analysis of Network Loss Energy Measurement Based on Machine Learning","display_name":"Analysis of Network Loss Energy Measurement Based on Machine Learning","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2971170842","doi":"https://doi.org/10.1109/icinfa.2018.8812571","mag":"2971170842"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2018.8812571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2018.8812571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Information and Automation (ICIA)","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/A5076776679","display_name":"Shunjiang Wang","orcid":"https://orcid.org/0000-0002-1762-4835"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210120842","display_name":"Shenyang Institute of Computing Technology (China)","ror":"https://ror.org/02xqp7x96","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120842"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunjiang Wang","raw_affiliation_strings":["Shen yang Institute of Computing Technology, Unversity of Chinese Academy of Science, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shen yang Institute of Computing Technology, Unversity of Chinese Academy of Science, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210120842"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103263970","display_name":"Haitian Chen","orcid":"https://orcid.org/0000-0002-3292-5521"},"institutions":[{"id":"https://openalex.org/I108904480","display_name":"Shenyang Institute of Engineering","ror":"https://ror.org/02pfsj857","country_code":"CN","type":"education","lineage":["https://openalex.org/I108904480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitian Chen","raw_affiliation_strings":["Electricity Academy, University of Shenyang institute of engineering, Liaoning, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electricity Academy, University of Shenyang institute of engineering, Liaoning, China","institution_ids":["https://openalex.org/I108904480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063228836","display_name":"Baoming Pu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120842","display_name":"Shenyang Institute of Computing Technology (China)","ror":"https://ror.org/02xqp7x96","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120842"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoming Pu","raw_affiliation_strings":["Shenyang Institute of Computing Technology of Chinese Academy of Sciences, University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenyang Institute of Computing Technology of Chinese Academy of Sciences, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210120842","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323339","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0001-6415-7005"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Zhang","raw_affiliation_strings":["State Grid Fushun Power Supply Company"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Fushun Power Supply Company","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030397754","display_name":"Shuangyuan Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuangyuan Jin","raw_affiliation_strings":["State Grid Fushun Power Supply Company"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Fushun Power Supply Company","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100601996","display_name":"Xinrui Liu","orcid":"https://orcid.org/0000-0002-6194-4115"},"institutions":[{"id":"https://openalex.org/I87182695","display_name":"Universidad del Noreste","ror":"https://ror.org/02ahky613","country_code":"MX","type":"education","lineage":["https://openalex.org/I87182695"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Xinrui Liu","raw_affiliation_strings":["Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University","institution_ids":["https://openalex.org/I87182695"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2619,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.61036705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"27","issue":null,"first_page":"1113","last_page":"1117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9991000294685364,"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/T10424","display_name":"Electric Power System Optimization","score":0.9991000294685364,"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/T11052","display_name":"Energy Load and Power Forecasting","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/T10454","display_name":"Optimal Power Flow Distribution","score":0.9814000129699707,"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":0.763831615447998},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5249214768409729},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.5021653175354004},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4891646206378937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41616278886795044},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4072268009185791},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2546200752258301},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13081228733062744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.763831615447998},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5249214768409729},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.5021653175354004},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4891646206378937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41616278886795044},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4072268009185791},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2546200752258301},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13081228733062744},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/icinfa.2018.8812571","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2018.8812571","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2083173092","https://openalex.org/W2105192847"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0,156],"real-time":[1,31,202],"network":[2,55,82,92,123,134,146,172,192,207],"loss":[3,56,83,93,124,135,193,208],"calculation":[4,84],"of":[5,20,27,102,121,171,185,201,206],"the":[6,14,21,25,30,35,49,80,100,113,118,133,138,144,160,167,181,186,199,223],"power":[7,22,36,240],"system":[8,37,241],"has":[9,221],"particularly":[10],"important":[11],"significance":[12],"for":[13,48,216,239],"optimal":[15,139],"scheduling":[16,62,74],"and":[17,40,43,60,98,131,136,152,169,183,204,209,211,233,236,243],"economic":[18,217],"operation":[19],"system.":[23],"With":[24],"development":[26],"artificial":[28,50],"intelligence,":[29],"data":[32,231],"collected":[33],"by":[34],"is":[38,46,150],"more":[39,41],"accurate":[42],"efficient.":[44],"It":[45],"convenient":[47],"intelligence":[51],"computer":[52],"to":[53,72,90,129,189,197],"calculate":[54,91,130],"in":[57,64,106,126,154],"real":[58],"time":[59],"make":[61],"instructions":[63],"a":[65,87,190,213],"short":[66],"time,":[67],"which":[68],"makes":[69],"it":[70],"possible":[71],"implement":[73],"optimization":[75],"instantaneously.":[76],"This":[77,110,148,219],"paper":[78,111,128],"analyzes":[79],"traditional":[81],"methods,":[85],"proposes":[86],"new":[88,119,176],"method":[89,120,149],"using":[94],"machine":[95,103,114],"learning":[96,104,115,162],"algorithms,":[97],"studies":[99],"application":[101],"algorithms":[105],"load":[107,140,187],"image":[108],"classification.":[109],"combines":[112],"algorithm":[116,163],"with":[117],"calculating":[122],"proposed":[125],"this":[127,175],"classify":[132],"obtain":[137],"distribution":[141],"map":[142],"under":[143],"target":[145],"loss.":[147,173],"simulated":[151],"verified":[153],"Matlab.":[155],"results":[157],"show":[158],"that":[159],"inductive":[161],"can":[164,179],"better":[165],"realize":[166],"classification":[168,182],"prediction":[170,184,205],"Through":[174],"method,":[177],"we":[178],"achieve":[180,198],"corresponding":[188],"certain":[191],"value,":[194],"so":[195],"as":[196],"purpose":[200],"monitoring":[203],"load,":[210],"provide":[212],"reliable":[214],"basis":[215],"dispatch.":[218],"article":[220],"obtained":[222],"\"deep":[224],"research":[225],"project":[226],"based":[227],"on":[228],"three-state":[229],"grid":[230],"fusion":[232],"verification":[234],"technology\"":[235],"technical":[237],"support":[238],"dispatch":[242],"cloud":[244],"platform.":[245]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}