{"id":"https://openalex.org/W3089091568","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148453","title":"Electricity Theft Detection using Pipeline in Machine Learning","display_name":"Electricity Theft Detection using Pipeline in Machine Learning","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3089091568","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148453","mag":"3089091568"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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/A5045518036","display_name":"Mubbashra Anwar","orcid":null},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Mubbashra Anwar","raw_affiliation_strings":["COMSATS Institute of Information Technology, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"COMSATS Institute of Information Technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055380996","display_name":"Nadeem Javaid","orcid":"https://orcid.org/0000-0003-3777-8249"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Nadeem Javaid","raw_affiliation_strings":["COMSATS Institute of Information Technology, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"COMSATS Institute of Information Technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057824034","display_name":"Adia Khalid","orcid":"https://orcid.org/0000-0002-4840-1300"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Adia Khalid","raw_affiliation_strings":["COMSATS Institute of Information Technology, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"COMSATS Institute of Information Technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031927335","display_name":"Muhammad Imran","orcid":"https://orcid.org/0000-0002-6946-2591"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Muhammad Imran","raw_affiliation_strings":["College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023240755","display_name":"Muhammad Shoaib","orcid":"https://orcid.org/0000-0002-0051-6803"},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Muhammad Shoaib","raw_affiliation_strings":["College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5045518036"],"corresponding_institution_ids":["https://openalex.org/I16076960"],"apc_list":null,"apc_paid":null,"fwci":0.9334,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.75045473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2138","last_page":"2142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13429","display_name":"Electricity Theft Detection Techniques","score":1.0,"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":1.0,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9810000061988831,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7439526915550232},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7174509167671204},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.6643548607826233},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6493517160415649},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.5580617189407349},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.535071611404419},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5181204676628113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.513174831867218},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48981425166130066},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.44734641909599304},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4462187588214874},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1908685863018036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7439526915550232},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7174509167671204},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.6643548607826233},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6493517160415649},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.5580617189407349},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.535071611404419},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5181204676628113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.513174831867218},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48981425166130066},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.44734641909599304},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4462187588214874},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1908685863018036},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},{"id":"pmh:vital:16651","is_oa":false,"landing_page_url":"http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/185438","pdf_url":null,"source":{"id":"https://openalex.org/S4306400234","display_name":"FedUni ResearchOnline (Federation University Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210158496","host_organization_name":"Australian Federation of University Women \u2013 South Australia","host_organization_lineage":["https://openalex.org/I4210158496"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1965765523","https://openalex.org/W2212529815","https://openalex.org/W2343530358","https://openalex.org/W2725329029","https://openalex.org/W2776990447","https://openalex.org/W2780476542","https://openalex.org/W2788544268","https://openalex.org/W2795113588","https://openalex.org/W2808784114","https://openalex.org/W2831439818","https://openalex.org/W2894817759","https://openalex.org/W2910992412","https://openalex.org/W2914780389","https://openalex.org/W2915626801","https://openalex.org/W2944768478","https://openalex.org/W2950879898","https://openalex.org/W2953426173","https://openalex.org/W2965226712","https://openalex.org/W2966906412","https://openalex.org/W2970705010","https://openalex.org/W2971454307","https://openalex.org/W2975154836","https://openalex.org/W2978986055","https://openalex.org/W2998161714"],"related_works":["https://openalex.org/W2766503024","https://openalex.org/W2781247653","https://openalex.org/W4206637278","https://openalex.org/W4386005305","https://openalex.org/W4386214543","https://openalex.org/W3082051559","https://openalex.org/W1969988626","https://openalex.org/W1682621979","https://openalex.org/W2141301039","https://openalex.org/W3173198409"],"abstract_inverted_index":{"Electricity":[0],"theft":[1,34,69,159],"is":[2,127],"the":[3,13,17,23,27,40,44,83,91,104,118,121,124,150],"primary":[4],"cause":[5],"of":[6,19,29,33,43,49,95,123,133,158],"electrical":[7,20],"power":[8],"loss":[9,15],"that":[10,149],"significantly":[11],"affects":[12],"revenue":[14],"and":[16,37,46,98,112,146],"quality":[18],"power.":[21],"Nevertheless,":[22],"existing":[24],"methods":[25,155],"for":[26,89,103,117],"detection":[28,70],"this":[30],"criminal":[31],"behavior":[32],"are":[35,138],"diversified":[36],"complicated":[38],"since":[39],"imbalanced":[41],"nature":[42],"dataset,":[45,92],"high":[47,108],"dimensionality":[48],"time-series":[50,110],"data":[51],"make":[52],"it":[53],"challenging":[54],"to":[55],"extract":[56],"meaningful":[57],"information.":[58],"This":[59],"paper":[60],"addresses":[61],"these":[62],"problems":[63],"by":[64,140],"developing":[65],"a":[66,76,130],"novel":[67],"electricity":[68,143],"model,":[71],"integrating":[72],"three":[73],"algorithms":[74],"in":[75,156],"pipeline.":[77],"The":[78],"proposed":[79,125,151],"method":[80,152],"first":[81],"applies":[82],"synthetic":[84],"minority":[85],"oversampling":[86],"technique":[87],"(SMOTE)":[88],"balancing":[90],"secondly":[93],"integration":[94],"kernel":[96],"function":[97],"principal":[99],"component":[100],"analysis":[101],"(KPCA)":[102],"feature":[105],"extraction":[106],"from":[107],"dimensional":[109],"data,":[111,145],"support":[113],"vector":[114],"machine":[115],"(SVM)":[116],"classification.":[119],"Besides,":[120],"performance":[122,134],"pipeline":[126],"measured":[128],"using":[129,141],"comprehensive":[131],"list":[132],"metrics.":[135],"Extensive":[136],"experiments":[137],"performed":[139],"real":[142],"consumption":[144],"results":[147],"show":[148],"outperforms":[153],"other":[154],"terms":[157],"detection.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-10-10T00:00:00"}
