{"id":"https://openalex.org/W2989069470","doi":"https://doi.org/10.23919/iconac.2019.8895194","title":"Non-intrusive Load Identification Method Based on Integrated Intelligence Strategy","display_name":"Non-intrusive Load Identification Method Based on Integrated Intelligence Strategy","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2989069470","doi":"https://doi.org/10.23919/iconac.2019.8895194","mag":"2989069470"},"language":"en","primary_location":{"id":"doi:10.23919/iconac.2019.8895194","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2019.8895194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th International Conference on Automation and Computing (ICAC)","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/A5081951516","display_name":"Zhiren Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ren Zhiren","raw_affiliation_strings":["Wasion Group Co., Ltd,Changsha,China,410000","Wasion Group Co., Ltd, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Wasion Group Co., Ltd,Changsha,China,410000","institution_ids":["https://openalex.org/I198357462"]},{"raw_affiliation_string":"Wasion Group Co., Ltd, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103136001","display_name":"Bo Tang","orcid":"https://orcid.org/0000-0002-7404-2401"},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tang Bo","raw_affiliation_strings":["Wasion Group Co., Ltd,Changsha,China,410000","Wasion Group Co., Ltd, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Wasion Group Co., Ltd,Changsha,China,410000","institution_ids":["https://openalex.org/I198357462"]},{"raw_affiliation_string":"Wasion Group Co., Ltd, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090622560","display_name":"Wang Longfeng","orcid":null},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Longfeng","raw_affiliation_strings":["Wasion Group Co., Ltd,Changsha,China,410000","Wasion Group Co., Ltd, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Wasion Group Co., Ltd,Changsha,China,410000","institution_ids":["https://openalex.org/I198357462"]},{"raw_affiliation_string":"Wasion Group Co., Ltd, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387509","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0001-6654-4965"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Hui","raw_affiliation_strings":["Central South University,School of Traffic & Transportation Engineering,Changsha,China,410075","School of Traffic & Transportation Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Traffic & Transportation Engineering,Changsha,China,410075","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Traffic & Transportation Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802976","display_name":"Yanfei Li","orcid":"https://orcid.org/0000-0003-3275-0925"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yanfei","raw_affiliation_strings":["Central South University,School of Traffic & Transportation Engineering,Changsha,China,410075","School of Traffic & Transportation Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Traffic & Transportation Engineering,Changsha,China,410075","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Traffic & Transportation Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055495152","display_name":"Haiping Wu","orcid":"https://orcid.org/0000-0002-0563-7380"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Haiping","raw_affiliation_strings":["Central South University,School of Traffic & Transportation Engineering,Changsha,China,410075","School of Traffic & Transportation Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Traffic & Transportation Engineering,Changsha,China,410075","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Traffic & Transportation Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5081951516"],"corresponding_institution_ids":["https://openalex.org/I198357462"],"apc_list":null,"apc_paid":null,"fwci":0.8316,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74494895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9836999773979187,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9830999970436096,"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/identification","display_name":"Identification (biology)","score":0.7347443103790283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6593770980834961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3348831832408905}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7347443103790283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6593770980834961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3348831832408905},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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:10.23919/iconac.2019.8895194","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2019.8895194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 25th International Conference on Automation and Computing (ICAC)","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":18,"referenced_works":["https://openalex.org/W377743863","https://openalex.org/W1993297921","https://openalex.org/W1994042232","https://openalex.org/W2006478669","https://openalex.org/W2026131661","https://openalex.org/W2063375278","https://openalex.org/W2066525309","https://openalex.org/W2078367979","https://openalex.org/W2104338768","https://openalex.org/W2110422612","https://openalex.org/W2111072639","https://openalex.org/W2123070597","https://openalex.org/W2148446997","https://openalex.org/W2363779728","https://openalex.org/W2393013786","https://openalex.org/W2513854054","https://openalex.org/W2809099695","https://openalex.org/W3103730413"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Existing":[0],"non-intrusive":[1,119],"load":[2,101,120],"identification":[3,121],"methods":[4],"are":[5,57],"mostly":[6],"single":[7],"recognition":[8,77,102],"models":[9],"that":[10,113],"based":[11,107],"on":[12,108],"a":[13,52],"certain":[14],"feature":[15,32,47,55,82],"space.":[16,33,83],"It":[17],"is":[18,49,64,87,123],"difficult":[19],"to":[20,70,89,126],"guarantee":[21],"the":[22,27,30,37,67,72,80,91,96,109,114,117,127,134],"global":[23],"generalization":[24],"performance":[25],"of":[26,39,41,54,116],"model":[28,63,78,132],"in":[29,45,79],"complex":[31],"In":[34],"this":[35],"paper,":[36],"distribution":[38],"features":[40],"common":[42],"household":[43],"appliances":[44],"different":[46],"space":[48],"analyzed":[50],"and":[51,94,133],"variety":[53],"spaces":[56],"constructed.":[58],"The":[59,84,104],"Extreme":[60,74,129],"Learning":[61,75,130],"Machine":[62,76,131,137],"selected":[65],"as":[66],"base":[68,92],"learner":[69,93],"train":[71],"optimal":[73],"corresponding":[81],"AdaBoost":[85],"algorithm":[86],"used":[88],"combine":[90],"build":[95],"ensemble":[97],"extreme":[98],"learning":[99],"machine":[100],"model.":[103,138],"experimental":[105],"results":[106],"measured":[110],"data":[111],"showed":[112],"accuracy":[115],"proposed":[118],"method":[122],"obviously":[124],"superior":[125],"classical":[128],"Support":[135],"Vector":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}