{"id":"https://openalex.org/W4293370895","doi":"https://doi.org/10.1109/tim.2022.3201940","title":"Error Modeling and Anomaly Detection of Smart Electricity Meter Using TSVD+L Method","display_name":"Error Modeling and Anomaly Detection of Smart Electricity Meter Using TSVD+L Method","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293370895","doi":"https://doi.org/10.1109/tim.2022.3201940"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3201940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3201940","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5046439897","display_name":"Lidan Chen","orcid":"https://orcid.org/0000-0001-7727-3785"},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Lidan Chen","raw_affiliation_strings":["Department of Electrical Engineering, Guangzhou City University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7727-3785","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Guangzhou City University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102711583","display_name":"Keng-Weng Lao","orcid":"https://orcid.org/0000-0002-5436-0648"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Keng-Weng Lao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China","Department of Electrical and Computer Engineering, and the State Key Laboratory of Internet of Things for Smart City, University of Macao, Taipa, China"],"raw_orcid":"https://orcid.org/0000-0002-5436-0648","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, and the State Key Laboratory of Internet of Things for Smart City, University of Macao, Taipa, China","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003153152","display_name":"Yongliang Ma","orcid":"https://orcid.org/0000-0001-9940-7641"},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yongliang Ma","raw_affiliation_strings":["Department of Electrical Engineering, Guangzhou City University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9940-7641","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Guangzhou City University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029809569","display_name":"Zhe Zhang","orcid":"https://orcid.org/0000-0002-3566-8612"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["Pazhou Laboratory, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3566-8612","affiliations":[{"raw_affiliation_string":"Pazhou Laboratory, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046439897"],"corresponding_institution_ids":["https://openalex.org/I6469544"],"apc_list":null,"apc_paid":null,"fwci":2.4207,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88105928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.8313519954681396},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5707937479019165},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.5258679389953613},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5190754532814026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5064715147018433},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4786219000816345},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.46782249212265015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3933681845664978},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37049180269241333},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3570176362991333},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3214300572872162},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3141222596168518},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.286262184381485},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.19839748740196228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12910988926887512},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1183704137802124}],"concepts":[{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.8313519954681396},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5707937479019165},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.5258679389953613},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5190754532814026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5064715147018433},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4786219000816345},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.46782249212265015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3933681845664978},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37049180269241333},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3570176362991333},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3214300572872162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3141222596168518},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.286262184381485},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.19839748740196228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12910988926887512},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1183704137802124},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3201940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3201940","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1634775478","https://openalex.org/W2028788479","https://openalex.org/W2031604650","https://openalex.org/W2073835183","https://openalex.org/W2084713054","https://openalex.org/W2308884720","https://openalex.org/W2586181304","https://openalex.org/W2608730641","https://openalex.org/W2766651241","https://openalex.org/W2786918196","https://openalex.org/W2808099604","https://openalex.org/W2890519000","https://openalex.org/W2899085069","https://openalex.org/W2899247557","https://openalex.org/W2900280238","https://openalex.org/W2917622119","https://openalex.org/W2942752717","https://openalex.org/W2972793138","https://openalex.org/W2981998806","https://openalex.org/W3015958101","https://openalex.org/W3022099390","https://openalex.org/W3034453932","https://openalex.org/W3039827233","https://openalex.org/W3085389958","https://openalex.org/W3092125858","https://openalex.org/W3102477513","https://openalex.org/W3115508916","https://openalex.org/W3128024952","https://openalex.org/W3146298398","https://openalex.org/W3152679494","https://openalex.org/W3158621536","https://openalex.org/W3211391700","https://openalex.org/W3215273707","https://openalex.org/W4206495155","https://openalex.org/W4231400843","https://openalex.org/W4281682622","https://openalex.org/W6790567064"],"related_works":["https://openalex.org/W2533995846","https://openalex.org/W3131586246","https://openalex.org/W2028208404","https://openalex.org/W2004501529","https://openalex.org/W4298516010","https://openalex.org/W1974122505","https://openalex.org/W2793340545","https://openalex.org/W2967187965","https://openalex.org/W2373436489","https://openalex.org/W205872183"],"abstract_inverted_index":{"Using":[0],"remote":[1],"data":[2,97,119],"analysis":[3],"to":[4,29,79,113,134],"estimate":[5],"smart":[6],"electricity":[7,95],"meters":[8],"(SMs)":[9],"and":[10,25,39,45,54,127,162,174,206],"detect":[11],"SMs&#x2019;":[12,51],"anomaly,":[13],"has":[14,186],"aroused":[15],"considerable":[16],"discussion":[17],"in":[18,49,62,148,189],"power":[19],"industry,":[20],"because":[21],"its":[22],"lower":[23],"cost":[24],"higher":[26,187],"efficiency":[27],"compared":[28,193],"traditional":[30],"field":[31],"calibration.":[32],"However,":[33],"the":[34,42,46,50,115,165,183,195],"trouble":[35],"of":[36,41,83,157,164],"lacking":[37],"topology":[38],"parameter":[40],"distribution":[43,176],"grid":[44],"ill-posed":[47],"problem":[48],"error":[52,88,141,149],"estimation":[53,89],"anomaly":[55,76,191],"detection":[56,77],"(AD)":[57],"are":[58,132,168],"not":[59],"well":[60],"resolved":[61],"most":[63],"energy":[64],"conservation":[65],"theorem-based":[66],"SMs":[67,94,140,147,190],"AD":[68],"methods.":[69],"This":[70],"paper":[71],"presents":[72],"a":[73,81],"sorted":[74],"Top-N":[75],"mechanism":[78],"generate":[80],"list":[82],"suspicious":[84],"anomalous":[85],"SMs.":[86],"The":[87,100,144,160,179],"model":[90],"(EEM)":[91],"only":[92],"using":[93],"consumption":[96],"is":[98,111,151],"investigated.":[99],"truncated":[101],"singular":[102],"value":[103],"decomposition":[104],"regularization":[105,208],"with":[106,194],"L-curve":[107],"optimization":[108],"(TSVD+L)":[109],"method":[110,167,185],"proposed":[112,152,166,184],"address":[114],"model&#x2019;s":[116],"ill-posedness.":[117],"Three":[118],"processing":[120],"modes,":[121],"namely":[122],"one-pot":[123],"mode,":[124],"segmentation":[125],"mode":[126],"sliding":[128],"window":[129],"technique":[130],"(SWT),":[131],"suggested":[133],"obtain":[135],"multiple":[136],"calculation":[137],"results":[138,180],"for":[139,153],"comprehensive":[142],"evaluation.":[143],"top":[145],"<i>N</i>%":[146],"sequence":[150],"onsite":[154],"calibration":[155],"instead":[156],"full":[158],"inspection.":[159],"effectiveness":[161],"practicality":[163],"verified":[169],"through":[170],"both":[171],"simulation":[172],"case":[173],"practical":[175],"network":[177],"application.":[178],"show":[181],"that":[182],"accuracy":[188],"detection,":[192],"ordinary":[196],"least":[197,202],"squares":[198,203],"(OLS)":[199],"method,":[200,205],"recursive":[201],"(RLS)":[204],"Tikhonov":[207],"(Tik)":[209],"method.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}