{"id":"https://openalex.org/W4409475291","doi":"https://doi.org/10.1109/iceaai64185.2025.10956610","title":"A Novel Non-Intrusive Load Decomposition Approach Based on TCN with RFAM Method","display_name":"A Novel Non-Intrusive Load Decomposition Approach Based on TCN with RFAM Method","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4409475291","doi":"https://doi.org/10.1109/iceaai64185.2025.10956610"},"language":"en","primary_location":{"id":"doi:10.1109/iceaai64185.2025.10956610","doi":"https://doi.org/10.1109/iceaai64185.2025.10956610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceaai64185.2025.10956610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electrical Automation and Artificial Intelligence (ICEAAI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5055076603","display_name":"Zhengtao Wu","orcid":"https://orcid.org/0000-0001-8199-7225","observed_orcids":["https://orcid.org/0000-0001-8199-7225"]},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengtao Wu","raw_affiliation_strings":["Polytechnic Institute of Zhejiang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Polytechnic Institute of Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065922439","display_name":"Yanghong Xia","orcid":"https://orcid.org/0000-0003-4475-0260","observed_orcids":["https://orcid.org/0000-0003-4475-0260"]},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanghong Xia","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003267672","display_name":"Zichen Li","orcid":"https://orcid.org/0000-0002-0746-9050","observed_orcids":["https://orcid.org/0000-0002-0746-9050","https://orcid.org/0009-0007-5533-6280"]},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zichen Li","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University,Hangzhou,China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05597211,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1446","last_page":"1451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10603","display_name":"Smart Grid Energy Management","score":0.98580002784729,"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":0.98580002784729,"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":0.008100000210106373,"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/T10573","display_name":"Power Quality and Harmonics","score":0.00019999999494757503,"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/non-intrusive-load-monitoring","display_name":"non-intrusive load monitoring","score":0.9620000123977661},{"id":"https://openalex.org/keywords/load-decomposition","display_name":"load decomposition","score":0.8870000243186951},{"id":"https://openalex.org/keywords/temporal-convolutional-network","display_name":"temporal convolutional network","score":0.9359999895095825},{"id":"https://openalex.org/keywords/household-energy-consumption","display_name":"household energy consumption","score":0.7730000019073486},{"id":"https://openalex.org/keywords/spatial-feature-extraction","display_name":"spatial feature extraction","score":0.8320000171661377}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.6419821381568909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6377301812171936},{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.5410112738609314},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.33428505063056946},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.21227890253067017},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.051397234201431274},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.04653099179267883}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceaai64185.2025.10956610","doi":"https://doi.org/10.1109/iceaai64185.2025.10956610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceaai64185.2025.10956610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electrical Automation and Artificial Intelligence (ICEAAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9853000044822693},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.7207000255584717}],"sustainable_development_goals_aurora":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7200000286102295}],"study_designs":[],"awards":[{"id":"https://openalex.org/G5805179508","display_name":null,"funder_award_id":"2021YFB2401303","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W4385685087","https://openalex.org/W4390474892"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4210406818","https://openalex.org/W4306779889","https://openalex.org/W3048554917","https://openalex.org/W3211706803","https://openalex.org/W4382775358","https://openalex.org/W4246942721","https://openalex.org/W3209862047"],"abstract_inverted_index":{"With":[0],"the":[1,100,103],"growing":[2],"diversification":[3],"and":[4,45],"operational":[5,50],"flexibility":[6],"of":[7],"load-side":[8],"resources,":[9],"improving":[10],"electricity":[11],"consumption":[12],"efficiency":[13],"through":[14,85],"precise":[15],"load":[16,24],"management":[17],"has":[18],"become":[19],"increasingly":[20],"critical.":[21],"While":[22],"non-intrusive":[23],"decomposition":[25,107],"(NILD)":[26],"offers":[27],"an":[28,55,67],"effective":[29],"solution":[30],"for":[31],"household":[32],"energy":[33],"monitoring,":[34],"existing":[35],"techniques":[36],"face":[37],"critical":[38],"limitations,":[39],"including":[40],"inadequate":[41],"spatial":[42,82],"feature":[43,83],"extraction":[44],"insufficient":[46],"attention":[47],"to":[48,73,110],"complex":[49],"patterns.":[51],"This":[52],"study":[53],"presents":[54],"enhanced":[56],"NILD":[57],"framework":[58],"that":[59],"integrates":[60],"a":[61,114],"Receptive-Field":[62],"Attention":[63],"Mechanism":[64],"(RFAM)":[65],"within":[66],"improved":[68],"Temporal":[69],"Convolutional":[70],"Network":[71],"architecture":[72],"address":[74],"these":[75],"challenges.":[76],"The":[77],"proposed":[78],"RFAM-TCN":[79],"synergistically":[80],"optimizes":[81],"perception":[84],"adaptive":[86],"weight":[87],"allocation":[88],"across":[89],"convolutional":[90],"layers":[91],"while":[92],"enhancing":[93],"multi-scale":[94],"temporal":[95],"pattern":[96],"recognition.":[97],"Validated":[98],"on":[99],"AMPds":[101],"dataset,":[102],"model":[104],"demonstrates":[105],"superior":[106],"accuracy":[108],"compared":[109],"conventional":[111],"approaches,":[112],"achieving":[113],"6.47%improvement":[115],"in":[116],"regression":[117],"performance":[118],"over":[119],"BiLSTM-based":[120],"solutions.":[121]},"counts_by_year":[],"updated_date":"2026-09-24T07:57:37.273135","created_date":"2025-10-10T00:00:00"}
