{"id":"https://openalex.org/W3116121116","doi":"https://doi.org/10.1145/3438872.3439110","title":"Research on Dual Model Non-intrusive Load Identification Based on Convolutional Neural Network and BP Neural Network","display_name":"Research on Dual Model Non-intrusive Load Identification Based on Convolutional Neural Network and BP Neural Network","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3116121116","doi":"https://doi.org/10.1145/3438872.3439110","mag":"3116121116"},"language":"en","primary_location":{"id":"doi:10.1145/3438872.3439110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3438872.3439110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","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/A5021298710","display_name":"Haijing Zhang","orcid":"https://orcid.org/0000-0002-3305-2507"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haijing Zhang","raw_affiliation_strings":["State Grid Shandong Electric Power Company, Jinan, China","Weifang Power Supply Company, State Grid Shandong Electric Power Company, Weifang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shandong Electric Power Company, Jinan, China","institution_ids":[]},{"raw_affiliation_string":"Weifang Power Supply Company, State Grid Shandong Electric Power Company, Weifang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018852479","display_name":"Wenjie Ju","orcid":"https://orcid.org/0000-0001-8559-911X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenjie Ju","raw_affiliation_strings":["State Grid Shandong Electric Power Company, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shandong Electric Power Company, Jinan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400403","display_name":"Hongtao Zhang","orcid":"https://orcid.org/0000-0003-2031-5985"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongtao Zhang","raw_affiliation_strings":["State Grid Shandong Electric Power Company, Jinan, China","Weifang Power Supply Company, State Grid Shandong Electric Power Company, Weifang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Shandong Electric Power Company, Jinan, China","institution_ids":[]},{"raw_affiliation_string":"Weifang Power Supply Company, State Grid Shandong Electric Power Company, Weifang, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14094865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"375","last_page":"381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9987999796867371,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9987999796867371,"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":0.9926999807357788,"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/T14011","display_name":"Elevator Systems and Control","score":0.9465000033378601,"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/identification","display_name":"Identification (biology)","score":0.7392364144325256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7195714712142944},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6656665802001953},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5937769412994385},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5581101179122925},{"id":"https://openalex.org/keywords/electrical-load","display_name":"Electrical load","score":0.4815088212490082},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4644835889339447},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4610558748245239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4244476556777954},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.42149531841278076},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.39969611167907715},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.324226438999176},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.20335614681243896},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17707368731498718},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08251780271530151}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7392364144325256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7195714712142944},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6656665802001953},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5937769412994385},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5581101179122925},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.4815088212490082},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4644835889339447},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4610558748245239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4244476556777954},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.42149531841278076},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.39969611167907715},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.324226438999176},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.20335614681243896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17707368731498718},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08251780271530151},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3438872.3439110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3438872.3439110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2801629785"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W4321444604","https://openalex.org/W2811106690","https://openalex.org/W2936819511","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W2093411737"],"abstract_inverted_index":{"As":[0],"an":[1],"important":[2],"branch":[3],"of":[4,14,30,35,51,68,77,127],"intelligent":[5,22],"electricity":[6,23],"use,":[7],"power":[8,15],"load":[9,37,53,65,80,90,115,128],"identification":[10,13,116,120],"realizes":[11],"accurate":[12],"load,":[16],"which":[17,82],"can":[18],"further":[19,75],"improve":[20,118],"the":[21,28,48,78,110,119,123],"use":[24],"system.":[25],"Aiming":[26],"at":[27],"problems":[29],"singularity,":[31],"inaccuracy":[32],"and":[33,54,89,100,125],"unreliability":[34],"electric":[36],"identification,":[38],"this":[39],"paper":[40,105],"proposed":[41],"a":[42],"method":[43],"based":[44],"on":[45],"deep":[46],"learning.":[47],"change":[49],"value":[50],"starting-stopping":[52],"current":[55,87],"was":[56,71,83,106],"determined":[57],"after":[58],"analyzing":[59],"for":[60,114],"collected":[61,72],"household":[62,69],"appliances.":[63],"The":[64],"data":[66],"set":[67],"appliance":[70],"followed":[73],"by":[74,85,93],"refining":[76],"superimposed":[79],"state":[81],"trained":[84],"using":[86],"characteristics":[88],"characteristics,":[91],"respectively,":[92],"combining":[94],"with":[95],"convolutional":[96],"neural":[97,102],"network":[98],"CNN":[99],"BP":[101],"network.":[103],"This":[104],"designed":[107],"to":[108,117],"find":[109],"best":[111],"model":[112],"suitable":[113],"rate,":[121],"enhance":[122],"reliability":[124],"accuracy":[126],"identification.":[129]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
