{"id":"https://openalex.org/W4400679760","doi":"https://doi.org/10.1109/access.2024.3429304","title":"Abnormal Electricity Detection of Users Based on Improved Canopy-Kmeans and Isolation Forest Algorithms","display_name":"Abnormal Electricity Detection of Users Based on Improved Canopy-Kmeans and Isolation Forest Algorithms","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400679760","doi":"https://doi.org/10.1109/access.2024.3429304"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3429304","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3429304","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3429304","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102021426","display_name":"Jianyuan Wang","orcid":"https://orcid.org/0000-0003-4986-1031"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianyuan Wang","raw_affiliation_strings":["Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education, Northeast Electric Power University, Jilin City, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education, Northeast Electric Power University, Jilin City, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013651957","display_name":"X. H. Li","orcid":"https://orcid.org/0009-0002-7353-2617"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyao Li","raw_affiliation_strings":["Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education, Northeast Electric Power University, Jilin City, Jilin, China"],"raw_orcid":"https://orcid.org/0009-0002-7353-2617","affiliations":[{"raw_affiliation_string":"Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education, Northeast Electric Power University, Jilin City, Jilin, China","institution_ids":["https://openalex.org/I179060312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102021426"],"corresponding_institution_ids":["https://openalex.org/I179060312"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.5429,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93288795,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"99110","last_page":"99121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9998999834060669,"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9998999834060669,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9922999739646912,"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":0.9911999702453613,"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":0.6728459596633911},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6717532873153687},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.6162172555923462},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5138800144195557},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.5047434568405151},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.46908488869667053},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4686189293861389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3785005807876587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3405800759792328},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1103554368019104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728459596633911},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6717532873153687},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.6162172555923462},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5138800144195557},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.5047434568405151},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.46908488869667053},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4686189293861389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3785005807876587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3405800759792328},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1103554368019104},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3429304","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3429304","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f0f75ca663b74adc8d743d8f573b6dea","is_oa":true,"landing_page_url":"https://doaj.org/article/f0f75ca663b74adc8d743d8f573b6dea","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 99110-99121 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3429304","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3429304","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W131268931","https://openalex.org/W1448660139","https://openalex.org/W2036216970","https://openalex.org/W2786918196","https://openalex.org/W2788544268","https://openalex.org/W2914738292","https://openalex.org/W2937347211","https://openalex.org/W2958114818","https://openalex.org/W2975154836","https://openalex.org/W3012149977","https://openalex.org/W3080094819","https://openalex.org/W3081010851","https://openalex.org/W3094241842","https://openalex.org/W3102477513","https://openalex.org/W3110806149","https://openalex.org/W3133693965","https://openalex.org/W3165413206","https://openalex.org/W3199195582","https://openalex.org/W4394805092","https://openalex.org/W6628606554"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W2390267673","https://openalex.org/W2120258591","https://openalex.org/W2378227553","https://openalex.org/W1584028106","https://openalex.org/W2113424041","https://openalex.org/W2385548616","https://openalex.org/W4313193953","https://openalex.org/W2967215460","https://openalex.org/W1789480965"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,12,37,98,108,115,134,198],"existing":[3],"user":[4,18,54,92,186],"abnormal":[5,30,161],"electricity":[6,20,31,55,93,194],"consumption":[7,21,32,56,195],"detection":[8,33,200],"methods":[9],"that":[10,174],"have":[11],"problem":[13],"of":[14,17,123,145,190],"difficult":[15],"classification":[16,189],"similar":[19],"patterns,":[22,57],"this":[23],"paper":[24],"proposes":[25],"an":[26],"unsupervised":[27],"isolation":[28,151],"forest":[29,152],"model":[34,158,201],"based":[35,120,164,202],"on":[36,121,165,203],"Canopy-Kmeans":[38,102,149],"algorithm":[39,106],"with":[40,192],"weighted":[41,99,146],"density":[42,100,147],"improvement.":[43],"To":[44],"start,":[45],"we":[46,96,140],"propose":[47,141],"a":[48,142,157],"composite":[49],"parameter":[50],"analysis":[51,80,208],"method":[52,68],"for":[53,159],"volatility,":[58],"trends,":[59],"and":[60,74,88,111,130,150,182,214],"correlations":[61],"using":[62,114],"Irish":[63],"smart":[64],"meter":[65],"data.":[66,138],"This":[67,105],"involves":[69],"joint":[70],"data":[71,169,207],"cleaning,":[72],"interpolation,":[73],"feature":[75,137,168,177,206],"construction.":[76],"Additionally,":[77],"principal":[78],"component":[79],"is":[81],"introduced":[82],"to":[83,154,218],"fuse":[84],"features":[85],"across":[86],"layers":[87],"reduce":[89],"dimensionality":[90],"in":[91,133,180],"consumption.":[94],"Subsequently,":[95],"introduce":[97],"improvement":[101,148],"clustering":[103,112],"algorithm.":[104],"determines":[107],"K":[109],"value":[110],"centers":[113],"maximum":[116],"weight":[117],"product":[118],"method,":[119],"definitions":[122],"sample":[124,128],"density,":[125],"average":[126],"intra-class":[127],"distance,":[129],"inter-class":[131],"distance":[132],"multilayer":[135,166,175,204],"fusion":[136,143,167,176,205],"Finally,":[139],"mechanism":[144],"algorithms":[153],"jointly":[155],"construct":[156],"detecting":[160],"power":[162],"usage":[163],"analysis.":[170],"The":[171],"results":[172],"demonstrate":[173],"parameters":[178],"vary":[179],"size":[181],"discretization":[183],"among":[184],"different":[185],"types,":[187],"enabling":[188],"users":[191],"diverse":[193],"patterns.":[196],"Moreover,":[197],"anomaly":[199],"improves":[209],"accuracy":[210],"rates,":[211,213],"recall":[212],"F1":[215],"scores":[216],"compared":[217],"other":[219],"algorithms.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
