{"id":"https://openalex.org/W4384264074","doi":"https://doi.org/10.1109/tce.2023.3295083","title":"Data-Driven Recommendation Model Based on Meta-Learning for Non-Intrusive Load Monitoring","display_name":"Data-Driven Recommendation Model Based on Meta-Learning for Non-Intrusive Load Monitoring","publication_year":2023,"publication_date":"2023-07-13","ids":{"openalex":"https://openalex.org/W4384264074","doi":"https://doi.org/10.1109/tce.2023.3295083"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2023.3295083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3295083","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Consumer Electronics","raw_type":"journal-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/A5025856446","display_name":"Xianghua Chu","orcid":"https://orcid.org/0000-0001-6290-4003"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xianghua Chu","raw_affiliation_strings":["College of Management and the Institute of Big Data Intelligent Management and Decision, Shenzhen University, Shenzhen, China","College of Management, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Management and the Institute of Big Data Intelligent Management and Decision, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069772724","display_name":"Yongsheng Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Pang","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073054251","display_name":"Yue Ma","orcid":"https://orcid.org/0000-0001-6324-7957"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Ma","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6324-7957","affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080893873","display_name":"Shuxiang Li","orcid":"https://orcid.org/0000-0002-9538-7097"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuxiang Li","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058578227","display_name":"Yuanju Qu","orcid":"https://orcid.org/0000-0002-7598-8231"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanju Qu","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7598-8231","affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018132263","display_name":"Yangpeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangpeng Wang","raw_affiliation_strings":["College of Management, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5025856446"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.8943,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73583487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"70","issue":"1","first_page":"3562","last_page":"3572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9987000226974487,"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/T11220","display_name":"Water Systems and Optimization","score":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7706393003463745},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5990273356437683},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5978050827980042},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5759013295173645},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.552538275718689},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.5278884172439575},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5172815322875977},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.47559651732444763},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.46374329924583435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4351932406425476},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4350244700908661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42356908321380615},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4084486663341522},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32250910997390747},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2810395359992981},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1698397397994995}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7706393003463745},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5990273356437683},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5978050827980042},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5759013295173645},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.552538275718689},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5278884172439575},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5172815322875977},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.47559651732444763},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.46374329924583435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4351932406425476},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4350244700908661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42356908321380615},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4084486663341522},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32250910997390747},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2810395359992981},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1698397397994995},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2023.3295083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2023.3295083","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9200000166893005,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G117793795","display_name":null,"funder_award_id":"2021A1515110595","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4353156202","display_name":null,"funder_award_id":"2016A030310067","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5702994148","display_name":null,"funder_award_id":"JCYJ20220531102009022","funder_id":"https://openalex.org/F4320316880","funder_display_name":"Natural Science Foundation of Shenzhen City"},{"id":"https://openalex.org/G6021568041","display_name":null,"funder_award_id":"91846301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G696369541","display_name":null,"funder_award_id":"71971142","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7239878927","display_name":null,"funder_award_id":"2022A1515010278","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7484188896","display_name":null,"funder_award_id":"71790615","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316880","display_name":"Natural Science Foundation of Shenzhen City","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W168840469","https://openalex.org/W595547967","https://openalex.org/W1479651931","https://openalex.org/W1495775210","https://openalex.org/W1996944908","https://openalex.org/W2097481773","https://openalex.org/W2098859486","https://openalex.org/W2123910460","https://openalex.org/W2145680191","https://openalex.org/W2147148915","https://openalex.org/W2151554678","https://openalex.org/W2255051834","https://openalex.org/W2292311507","https://openalex.org/W2293360607","https://openalex.org/W2330492788","https://openalex.org/W2566212894","https://openalex.org/W2595966354","https://openalex.org/W2861817451","https://openalex.org/W2887564545","https://openalex.org/W2896273718","https://openalex.org/W2897481878","https://openalex.org/W2908535058","https://openalex.org/W2945599056","https://openalex.org/W2947023249","https://openalex.org/W2984293231","https://openalex.org/W2989738037","https://openalex.org/W2997305434","https://openalex.org/W2998450902","https://openalex.org/W3010208964","https://openalex.org/W3015396216","https://openalex.org/W3034477267","https://openalex.org/W3040863237","https://openalex.org/W3080597126","https://openalex.org/W3099873379","https://openalex.org/W3102977103","https://openalex.org/W3104820280","https://openalex.org/W3120775420","https://openalex.org/W3196593819","https://openalex.org/W4200099981","https://openalex.org/W4206745662","https://openalex.org/W4210342596","https://openalex.org/W4211208325","https://openalex.org/W4212781518","https://openalex.org/W4280518733","https://openalex.org/W4285150968","https://openalex.org/W4285209047","https://openalex.org/W4296916869","https://openalex.org/W4362496352","https://openalex.org/W6679436768"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W2372254676","https://openalex.org/W4390516098","https://openalex.org/W2080135837","https://openalex.org/W2793679056","https://openalex.org/W4283332091","https://openalex.org/W2181948922","https://openalex.org/W3145050838"],"abstract_inverted_index":{"Smart":[0],"meters":[1],"with":[2,123],"Non-Intrusive":[3],"Load":[4],"Monitoring":[5],"(NILM)":[6],"technology":[7],"is":[8,51,77],"explored":[9],"as":[10],"a":[11,41,70,86],"means":[12],"of":[13,90,115,118],"reducing":[14],"energy":[15],"consumption":[16],"and":[17,110],"minimizing":[18],"emissions":[19],"in":[20,53,113],"residential":[21],"settings.":[22],"Various":[23],"NILM":[24],"disaggregation":[25,120],"algorithms":[26,60],"have":[27],"been":[28],"proposed,":[29],"but":[30],"their":[31],"effectiveness":[32],"varies":[33],"across":[34],"different":[35,124],"scenarios.":[36],"To":[37],"address":[38],"this":[39,54],"issue,":[40],"method":[42],"called":[43],"Data-driven":[44],"Recommendation":[45],"Model":[46],"(DRM)":[47],"based":[48],"on":[49],"meta-learning":[50],"proposed":[52,105],"paper.":[55],"DRM":[56,106],"recommends":[57],"the":[58,65,82,104,116],"appropriate":[59],"for":[61,121],"various":[62,98],"problems":[63],"using":[64],"existing":[66],"knowledge":[67],"repository.":[68],"Besides,":[69],"novel":[71],"metafeature":[72],"extractor":[73],"named":[74],"Meta-Learning":[75],"Encoder-Decoder":[76],"designed":[78],"to":[79,97],"efficiently":[80],"process":[81],"deep":[83],"meta-features":[84],"from":[85],"more":[87],"significant":[88],"number":[89],"training":[91],"samples,":[92],"which":[93],"can":[94],"be":[95],"implemented":[96],"meta-learners.":[99],"Experimental":[100],"results":[101],"indicate":[102],"that":[103],"exhibits":[107],"strong":[108],"learning":[109],"generalization":[111],"capabilities":[112],"terms":[114],"efficiency":[117],"load":[119],"datasets":[122],"characteristics.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
