{"id":"https://openalex.org/W2330605115","doi":"https://doi.org/10.1109/tii.2015.2486379","title":"Feature Extraction and Power Quality Disturbances Classification Using Smart Meters Signals","display_name":"Feature Extraction and Power Quality Disturbances Classification Using Smart Meters Signals","publication_year":2015,"publication_date":"2015-10-02","ids":{"openalex":"https://openalex.org/W2330605115","doi":"https://doi.org/10.1109/tii.2015.2486379","mag":"2330605115"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2015.2486379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2015.2486379","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://dx.doi.org/10.1109/TII.2015.2486379","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004254468","display_name":"F\u00e1bbio A. S. Borges","orcid":"https://orcid.org/0000-0002-5134-2348"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Fabbio A. S. Borges","raw_affiliation_strings":["Department of Electrical Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016919481","display_name":"Ricardo A. S. Fernandes","orcid":"https://orcid.org/0000-0003-2361-6505"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo A. S. Fernandes","raw_affiliation_strings":["Department of Electrical Engineering, Federal University of S\u00e3o Carlos, S\u00e3o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Federal University of S\u00e3o Carlos, S\u00e3o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074469154","display_name":"Ivan Nunes da Silva","orcid":"https://orcid.org/0000-0002-1296-5454"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ivan N. Silva","raw_affiliation_strings":["Department of Electrical Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066142477","display_name":"Cintia B. S. Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cintia B. S. Silva","raw_affiliation_strings":["Department of Electrical Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of S\u00e3o Paulo, S\u00e3o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004254468"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":9.2347,"has_fulltext":false,"cited_by_count":233,"citation_normalized_percentile":{"value":0.982582,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"12","issue":"2","first_page":"824","last_page":"833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10573","display_name":"Power Quality and Harmonics","score":0.9994999766349792,"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/T10573","display_name":"Power Quality and Harmonics","score":0.9994999766349792,"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/T10320","display_name":"Neural Networks and Applications","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9968000054359436,"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/feature-extraction","display_name":"Feature extraction","score":0.7196276783943176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563293933868408},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5816948413848877},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5737623572349548},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5523751378059387},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.5026473999023438},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5000333786010742},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.49281004071235657},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4924336373806},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47005972266197205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4688861072063446},{"id":"https://openalex.org/keywords/smart-meter","display_name":"Smart meter","score":0.45073193311691284},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.43765780329704285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42416924238204956},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.37200334668159485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.344908744096756},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25208815932273865}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7196276783943176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563293933868408},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5816948413848877},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5737623572349548},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5523751378059387},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.5026473999023438},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5000333786010742},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.49281004071235657},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4924336373806},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47005972266197205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4688861072063446},{"id":"https://openalex.org/C2779510800","wikidata":"https://www.wikidata.org/wiki/Q1630602","display_name":"Smart meter","level":3,"score":0.45073193311691284},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.43765780329704285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42416924238204956},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37200334668159485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.344908744096756},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25208815932273865},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"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/tii.2015.2486379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2015.2486379","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:002754238","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/TII.2015.2486379","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da USP (Biblioteca Digital da Produ\u00e7\u00e3o Intelectual)","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:002754238","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/TII.2015.2486379","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da USP (Biblioteca Digital da Produ\u00e7\u00e3o Intelectual)","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W1649906376","https://openalex.org/W1999508011","https://openalex.org/W2014270852","https://openalex.org/W2026223754","https://openalex.org/W2031912930","https://openalex.org/W2047172480","https://openalex.org/W2049028244","https://openalex.org/W2057163688","https://openalex.org/W2061698056","https://openalex.org/W2073337195","https://openalex.org/W2078573057","https://openalex.org/W2080045616","https://openalex.org/W2080365290","https://openalex.org/W2114264037","https://openalex.org/W2125055259","https://openalex.org/W2142674421","https://openalex.org/W2155482699","https://openalex.org/W2157600317","https://openalex.org/W2158642626","https://openalex.org/W2165898317"],"related_works":["https://openalex.org/W3018909029","https://openalex.org/W3205631650","https://openalex.org/W2246071452","https://openalex.org/W2775355700","https://openalex.org/W2165970106","https://openalex.org/W1985785385","https://openalex.org/W1124398682","https://openalex.org/W4316660856","https://openalex.org/W2387071565","https://openalex.org/W2052546123"],"abstract_inverted_index":{"This":[0],"paper":[1,116],"presents":[2],"a":[3,47,80,118],"methodology":[4],"aimed":[5],"at":[6],"extracting":[7],"features":[8,155],"to":[9,17,24,53,78,150,166,219],"obtain":[10],"information":[11],"that":[12,33,46,109,123,144,208,212],"will":[13],"highlight":[14],"disturbances":[15,38,221],"related":[16],"the":[18,25,34,37,54,63,87,94,98,101,107,110,152,157,168,171,175,181,190,197,210,213],"field":[19,138],"of":[20,27,36,50,89,97,103,120,159,170,177,180,185,189,199],"power":[21],"quality.":[22],"Due":[23],"concept":[26],"smart":[28,43,68],"grids,":[29],"it":[30,75],"is":[31,76,113,148,217],"clear":[32],"classification":[35,102,111],"should":[39,141],"be":[40,125,142],"undertaken":[41],"using":[42,62,130,137],"meters,":[44],"so":[45],"large":[48],"amount":[49],"data":[51],"corresponding":[52],"voltage":[55],"and":[56,70,93,127,184,223],"current":[57],"waveforms":[58],"are":[59,134],"not":[60],"exchanged":[61],"communication":[64],"channels,":[65],"i.e.,":[66],"between":[67,82],"meter":[69],"Utility's":[71],"database":[72],"server.":[73],"Thus,":[74],"necessary":[77,218],"ensure":[79],"balance":[81],"computational":[83,226],"effort":[84],"(arising":[85],"from":[86],"implementation":[88],"algorithms":[90],"on":[91,106],"hardware)":[92],"satisfactory":[95],"performance":[96],"algorithm":[99],"for":[100,156],"disturbances.":[104],"Based":[105],"assumption":[108],"task":[112],"onerous,":[114],"this":[115,145],"proposes":[117],"step":[119,216],"feature":[121,172,214],"extraction":[122,173,215],"may":[124],"calculated":[126],"analyzed":[128],"offline":[129,146],"synthetic":[131],"waveforms/signals,":[132],"which":[133],"subsequently":[135],"validated":[136],"measurements.":[139],"It":[140],"noted":[143],"analysis":[147],"required":[149],"determine":[151],"most":[153],"relevant":[154],"process":[158],"classifying":[160],"each":[161],"disturbance.":[162],"However,":[163],"in":[164],"order":[165],"establish":[167],"effectiveness":[169],"step,":[174],"response":[176],"decision":[178],"trees":[179],"C4.5":[182],"type":[183,193],"artificial":[186],"neural":[187],"networks":[188],"multilayer":[191],"perceptron":[192],"were":[194,206],"verified":[195],"during":[196],"phase":[198],"disturbance":[200],"classification.":[201],"In":[202],"short,":[203],"good":[204],"results":[205],"obtained":[207],"corroborate":[209],"hypothesis":[211],"classify":[220],"effectively":[222],"with":[224],"low":[225],"effort.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":29},{"year":2020,"cited_by_count":30},{"year":2019,"cited_by_count":38},{"year":2018,"cited_by_count":26},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":8}],"updated_date":"2026-04-24T08:23:43.765630","created_date":"2025-10-10T00:00:00"}
