{"id":"https://openalex.org/W4416251007","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229168","title":"Non-Intrusive Load Monitoring Missing Data Recovery via Nonlinear PID-Incorporated Latent Factorization of Tensors","display_name":"Non-Intrusive Load Monitoring Missing Data Recovery via Nonlinear PID-Incorporated Latent Factorization of Tensors","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251007","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229168"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5036952936","display_name":"Yiran Wang","orcid":"https://orcid.org/0009-0007-3244-3534"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiran Wang","raw_affiliation_strings":["Southwest University,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082422499","display_name":"Tangtang Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tangtang Xie","raw_affiliation_strings":["Southwest University,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047737556","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0002-4138-1239"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Southwest University,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"Southwest University,Chongqing,China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036952936"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33307313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.21699999272823334,"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":0.21699999272823334,"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":0.21070000529289246,"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/T10305","display_name":"Power System Optimization and Stability","score":0.15950000286102295,"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/missing-data","display_name":"Missing data","score":0.6611999869346619},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5964999794960022},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5824999809265137},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5637999773025513},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.5314000248908997},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4023999869823456},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.3968999981880188},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.38429999351501465},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.3720000088214874}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6611999869346619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6331999897956848},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5964999794960022},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5824999809265137},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5637999773025513},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.5314000248908997},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4162999987602234},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.3968999981880188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3917999863624573},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34779998660087585},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.33959999680519104},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C24552861","wikidata":"https://www.wikidata.org/wiki/Q2670177","display_name":"Data assimilation","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.289000004529953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2863999903202057},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.26980000734329224},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2680000066757202},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.25189998745918274},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1996944908","https://openalex.org/W2083969874","https://openalex.org/W2138529725","https://openalex.org/W2343145095","https://openalex.org/W2473015933","https://openalex.org/W2754252319","https://openalex.org/W2767963190","https://openalex.org/W2798391154","https://openalex.org/W2907017794","https://openalex.org/W2928382658","https://openalex.org/W3019396605","https://openalex.org/W3047753861","https://openalex.org/W3094071795","https://openalex.org/W3110488315","https://openalex.org/W3118283916","https://openalex.org/W3137769352","https://openalex.org/W3153812903","https://openalex.org/W3156564332","https://openalex.org/W3213018975","https://openalex.org/W3213397377","https://openalex.org/W3213920736","https://openalex.org/W4200597037","https://openalex.org/W4205678748","https://openalex.org/W4205774517","https://openalex.org/W4255692799","https://openalex.org/W4285114834","https://openalex.org/W4285166467","https://openalex.org/W4285238799","https://openalex.org/W4287890986","https://openalex.org/W4293107381","https://openalex.org/W4295046681","https://openalex.org/W4319990429","https://openalex.org/W4323526969","https://openalex.org/W4381199046","https://openalex.org/W4385287043","https://openalex.org/W4387824552","https://openalex.org/W4392647365","https://openalex.org/W4400489761","https://openalex.org/W4400489889","https://openalex.org/W4403722015","https://openalex.org/W4406611807","https://openalex.org/W4407133303","https://openalex.org/W4408979225"],"related_works":[],"abstract_inverted_index":{"Non-Intrusive":[0],"Load":[1],"Monitoring":[2],"(NILM)":[3],"has":[4,57],"emerged":[5],"as":[6],"a":[7,69,99,123],"key":[8],"smart":[9],"grid":[10],"technology,":[11],"identifying":[12],"electrical":[13],"device":[14],"and":[15,139,178],"providing":[16],"detailed":[17],"energy":[18],"consumption":[19],"data":[20,28],"for":[21],"precise":[22],"demand":[23],"response":[24],"management.":[25],"Nevertheless,":[26],"NILM":[27,164,184],"suffers":[29],"from":[30],"missing":[31,64,183],"values":[32],"due":[33],"to":[34,41,59,85,119],"inescapable":[35],"factors":[36],"like":[37],"sensor":[38],"failure,":[39],"leading":[40],"inaccuracies":[42],"in":[43,62,175],"non-intrusive":[44],"load":[45],"monitoring.":[46],"A":[47],"stochastic":[48,77],"gradient":[49],"descent":[50],"(SGD)-based":[51],"latent":[52,70],"factorization":[53,104],"of":[54,88,105,122],"tensors":[55,106],"model":[56,108,154,171],"proven":[58],"be":[60],"effective":[61],"estimating":[63],"data,":[65],"however,":[66],"it":[67],"updates":[68],"factor":[71],"solely":[72],"based":[73],"on":[74,162],"the":[75,114,120,128,136,153,168,182],"current":[76],"gradient,":[78],"without":[79],"considering":[80],"past":[81,129],"information,":[82],"which":[83],"leads":[84],"slow":[86],"convergence":[87,176],"an":[89],"LFT":[90],"model.":[91],"To":[92],"address":[93],"this":[94,96],"issue,":[95],"paper":[97],"proposes":[98],"Nonlinear":[100],"Proportional-integral-derivative":[101],"(PID)-Incorporated":[102],"Latent":[103],"(NPIL)":[107],"with":[109],"two-fold":[110],"ideas:":[111],"a)":[112],"rebuilding":[113],"instant":[115],"learning":[116,137],"error":[117],"according":[118],"principle":[121],"nonlinear":[124],"PID":[125],"controller,":[126],"thus,":[127],"update":[130],"information":[131],"is":[132,157],"efficiently":[133],"incorporated":[134],"into":[135],"scheme,":[138],"b)":[140],"implementing":[141],"gain":[142],"parameter":[143],"adaptation":[144],"by":[145],"utilizing":[146],"particle":[147],"swarm":[148],"optimization":[149],"(PSO)":[150],"algorithm,":[151],"hence,":[152],"computational":[155],"efficiency":[156],"effectively":[158],"improved.":[159],"Experimental":[160],"results":[161],"real-world":[163],"datasets":[165],"demonstrate":[166],"that":[167],"proposed":[169],"NPIL":[170],"surpasses":[172],"state-of-the-art":[173],"models":[174],"rate":[177],"accuracy":[179],"when":[180],"predicting":[181],"data.":[185]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-14T00:00:00"}