{"id":"https://openalex.org/W4383753306","doi":"https://doi.org/10.1109/tim.2023.3293555","title":"Deep Learning for Power Quality Event Detection and Classification Based on Measured Grid Data","display_name":"Deep Learning for Power Quality Event Detection and Classification Based on Measured Grid Data","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4383753306","doi":"https://doi.org/10.1109/tim.2023.3293555"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3293555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3293555","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/A5025193209","display_name":"Nuno M. Rodrigues","orcid":"https://orcid.org/0000-0002-9633-7526"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Nuno M. Rodrigues","raw_affiliation_strings":["Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-9633-7526","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018830352","display_name":"Fernando M. Janeiro","orcid":"https://orcid.org/0000-0002-6005-2844"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Fernando M. Janeiro","raw_affiliation_strings":["Instituto de Telecomunicações, Universidade de Évora, Évora, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-6005-2844","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicações, Universidade de Évora, Évora, Portugal","institution_ids":["https://openalex.org/I4210120471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002315677","display_name":"Pedro M. Ramos","orcid":"https://orcid.org/0000-0001-8914-9781"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Pedro M. Ramos","raw_affiliation_strings":["Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0000-0001-8914-9781","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.394,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.93076923,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10573","display_name":"Power Quality and Harmonics","score":0.9990000128746033,"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":0.9990000128746033,"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/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9977999925613403,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.6608299612998962},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6258298754692078},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5729281306266785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5543969869613647},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5468740463256836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5263919830322266},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49906206130981445},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4942970275878906},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4482552707195282},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4459967613220215},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4329940974712372},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.38459768891334534},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33958911895751953},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26612257957458496},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11162421107292175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6608299612998962},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6258298754692078},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5729281306266785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5543969869613647},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5468740463256836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5263919830322266},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49906206130981445},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4942970275878906},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4482552707195282},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4459967613220215},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4329940974712372},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.38459768891334534},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33958911895751953},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26612257957458496},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11162421107292175},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tim.2023.3293555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3293555","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"},{"id":"pmh:oai:dspace.uevora.pt:10174/36254","is_oa":false,"landing_page_url":"http://hdl.handle.net/10174/36254","pdf_url":null,"source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2002661544","https://openalex.org/W2044401459","https://openalex.org/W2052089771","https://openalex.org/W2104304953","https://openalex.org/W2107841622","https://openalex.org/W2109281569","https://openalex.org/W2122410182","https://openalex.org/W2128083427","https://openalex.org/W2137243960","https://openalex.org/W2156214736","https://openalex.org/W2187089797","https://openalex.org/W2336998050","https://openalex.org/W2494837712","https://openalex.org/W2500098465","https://openalex.org/W2598525681","https://openalex.org/W2605794033","https://openalex.org/W2614646677","https://openalex.org/W2892341857","https://openalex.org/W2901358399","https://openalex.org/W2962951509","https://openalex.org/W2969790209","https://openalex.org/W3049613208","https://openalex.org/W3088838154","https://openalex.org/W3127943177","https://openalex.org/W4211116959","https://openalex.org/W4293370945","https://openalex.org/W4320919984"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2067317451","https://openalex.org/W4375867731","https://openalex.org/W2965083567","https://openalex.org/W4235240664","https://openalex.org/W1838576100","https://openalex.org/W2757182831","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W2095886385"],"abstract_inverted_index":{"Energy":[0],"consumption":[1],"has":[2],"increased":[3],"over":[4],"the":[5,10,33,39,43],"years":[6],"and,":[7],"due":[8],"to":[9,23,31,77,90,99,110,133],"dependency":[11],"on":[12,115],"fossil":[13],"energy,":[14],"alternative":[15],"and":[16,36,50,56,79,131,135],"renewable":[17],"energy":[18,47],"sources":[19],"have":[20,65],"been":[21,66],"integrated":[22],"address":[24],"environmental":[25],"concerns.":[26],"However":[27],"it":[28,74],"is":[29,75,129],"important":[30],"maintain":[32],"efficiency,":[34],"reliability,":[35],"safety":[37],"of":[38,45],"power":[40,54,60,104,137,147],"grid":[41,148],"amid":[42],"integration":[44],"different":[46],"sources.":[48],"IEEE":[49],"IEC":[51],"standards":[52],"regulate":[53],"quality":[55,61,105,138],"define":[57],"thresholds":[58],"for":[59],"events":[62,82,139],"that":[63,87],"traditionally":[64],"detected":[67],"through":[68],"specialized":[69],"algorithms.":[70],"With":[71],"machine":[72],"learning":[73,85,108,126],"possible":[76],"detect":[78,111,134],"classify":[80,136],"those":[81],"using":[83],"deep":[84,107,125],"techniques":[86],"teach":[88],"systems":[89],"learn":[91],"by":[92],"example,":[93],"providing":[94],"a":[95,124,141],"more":[96],"scalable":[97],"approach":[98],"classification.":[100],"Published":[101],"studies":[102],"in":[103],"with":[106,144,151],"algorithms":[109],"disturbances":[112],"rely":[113],"only":[114],"simulated":[116],"signals":[117,149],"or":[118],"imposed":[119],"disturbances.":[120],"In":[121],"this":[122],"paper,":[123],"neural":[127],"network":[128],"trained":[130],"used":[132],"from":[140],"database":[142],"built":[143],"real":[145],"electrical":[146],"measured":[150],"monitoring":[152],"devices.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}