{"id":"https://openalex.org/W4401169049","doi":"https://doi.org/10.1145/3674225.3674313","title":"Research on non-intrusive load identification based on VMD-LSTM","display_name":"Research on non-intrusive load identification based on VMD-LSTM","publication_year":2024,"publication_date":"2024-01-19","ids":{"openalex":"https://openalex.org/W4401169049","doi":"https://doi.org/10.1145/3674225.3674313"},"language":"en","primary_location":{"id":"doi:10.1145/3674225.3674313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674225.3674313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics 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/A5063993939","display_name":"Baoyu Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baoyu Hou","raw_affiliation_strings":["State Grid Zhejiang Electric Power Co., Ltd. Quzhou Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0005-5153-3469","affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Electric Power Co., Ltd. Quzhou Power Supply Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dan Luo","orcid":"https://orcid.org/0009-0007-8959-0826"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Luo","raw_affiliation_strings":["State Grid Zhejiang Electric Power Co., Ltd. Quzhou Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0007-8959-0826","affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Electric Power Co., Ltd. Quzhou Power Supply Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiajun Zhang","orcid":"https://orcid.org/0009-0000-3860-2910"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Zhang","raw_affiliation_strings":["State Grid Zhejiang Electric Power Co., Ltd. Kaihua County Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0000-3860-2910","affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Electric Power Co., Ltd. Kaihua County Power Supply Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bin Ren","orcid":"https://orcid.org/0009-0004-5385-4293"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Ren","raw_affiliation_strings":["State Grid Zhejiang Electric Power Co., Ltd. Kaihua County Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0004-5385-4293","affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Electric Power Co., Ltd. Kaihua County Power Supply Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Wang","orcid":"https://orcid.org/0009-0000-1985-7432"},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":["State Grid Zhejiang Electric Power Co., Ltd. Kaihua County Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0000-1985-7432","affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Electric Power Co., Ltd. Kaihua County Power Supply Company, China","institution_ids":["https://openalex.org/I4210126065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077913462","display_name":"Zhixiang Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126065","display_name":"Shanghai Electric (China)","ror":"https://ror.org/0314qy595","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixiang Mao","raw_affiliation_strings":["State Grid Zhejiang Electric Power Co., Ltd. Kaihua County Power Supply Company, China"],"raw_orcid":"https://orcid.org/0009-0009-5057-716X","affiliations":[{"raw_affiliation_string":"State Grid Zhejiang Electric Power Co., Ltd. Kaihua County Power Supply Company, China","institution_ids":["https://openalex.org/I4210126065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063993939"],"corresponding_institution_ids":["https://openalex.org/I4210126065"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09094268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"493","last_page":"497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9890999794006348,"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":0.982699990272522,"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":0.6843921542167664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6702251434326172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36322927474975586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3500177264213562}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6843921542167664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6702251434326172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36322927474975586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3500177264213562},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674225.3674313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674225.3674313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Power Electronics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W3119642604","https://openalex.org/W4362587804"],"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":{"Non-intrusive":[0],"load":[1,44,52,107,148],"identification":[2,53],"technology":[3],"is":[4,58,111,139,150],"important":[5],"for":[6,119],"optimising":[7],"the":[8,22,31,39,47,68,75,81,88,94,98,106,114,122,127,131,135,145],"energy":[9],"structure,":[10],"improving":[11],"power":[12,24,48],"efficiency":[13],"and":[14,29,93,144],"saving":[15],"resources":[16],"by":[17,66],"installing":[18],"smart":[19],"meters":[20],"at":[21],"main":[23],"supply":[25],"connector":[26],"to":[27,104],"collect":[28],"analyse":[30],"user's":[32],"electricity":[33],"information":[34],"in":[35,46,134],"real":[36],"time.":[37],"For":[38],"different":[40],"characteristics":[41],"of":[42,84,130,147],"household":[43],"changes":[45],"system,":[49],"a":[50],"non-intrusive":[51],"approach":[54],"based":[55],"on":[56],"VMD-LSTM":[57],"proposed.":[59],"The":[60],"acquired":[61],"data":[62,137],"were":[63],"first":[64],"preprocessed":[65],"decomposing":[67],"signal":[69,90],"into":[70,113],"K":[71],"IMF":[72],"components":[73,96],"using":[74],"variational":[76],"modal":[77],"decomposition":[78],"(VMD).":[79],"Secondly,":[80],"relevance":[82],"coefficient":[83],"each":[85],"component":[86],"with":[87,97],"normalized":[89],"are":[91,102],"calculated,":[92],"three":[95],"largest":[99],"correlation":[100],"coefficients":[101],"selected":[103],"form":[105],"feature.":[108],"Then,":[109],"it":[110],"input":[112],"trained":[115],"LSTM":[116],"neural":[117],"network":[118],"identification.":[120],"Finally,":[121],"experimental":[123],"results":[124],"indicate":[125],"that":[126],"recognition":[128,149],"rate":[129],"proposed":[132],"means":[133],"public":[136],"set":[138],"more":[140],"than":[141],"96":[142],"%,":[143],"accuracy":[146],"significantly":[151],"improved.":[152]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
