{"id":"https://openalex.org/W4410584349","doi":"https://doi.org/10.1109/isc260477.2024.11004186","title":"A Rule-Based, Grey Wolf Optimizer, and Support Vector Machine Approach for Undervoltage Localization in Low-Voltage Distribution Systems","display_name":"A Rule-Based, Grey Wolf Optimizer, and Support Vector Machine Approach for Undervoltage Localization in Low-Voltage Distribution Systems","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4410584349","doi":"https://doi.org/10.1109/isc260477.2024.11004186"},"language":"en","primary_location":{"id":"doi:10.1109/isc260477.2024.11004186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc260477.2024.11004186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Smart Cities Conference (ISC2)","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/A5092008537","display_name":"Supakan Janthong","orcid":"https://orcid.org/0000-0003-0416-6182"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Supakan Janthong","raw_affiliation_strings":["Prince of Songkla University,Department of Electrical & Biomedical Engineering,Hatyai,Songkhla,Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Prince of Songkla University,Department of Electrical & Biomedical Engineering,Hatyai,Songkhla,Thailand","institution_ids":["https://openalex.org/I131868736"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058285390","display_name":"Pornchai Phukpattaranont","orcid":"https://orcid.org/0000-0003-0885-0176"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pornchai Phukpattaranont","raw_affiliation_strings":["Prince of Songkla University,Department of Electrical & Biomedical Engineering,Hatyai,Songkhla,Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Prince of Songkla University,Department of Electrical & Biomedical Engineering,Hatyai,Songkhla,Thailand","institution_ids":["https://openalex.org/I131868736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1856,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55325882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9973000288009644,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9973000288009644,"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":0.9959999918937683,"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"}},{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9955000281333923,"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/support-vector-machine","display_name":"Support vector machine","score":0.5492862462997437},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.5401645302772522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49788737297058105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42805805802345276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3678203225135803},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.32483726739883423},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2614721655845642},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.18118709325790405}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5492862462997437},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.5401645302772522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49788737297058105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42805805802345276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3678203225135803},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.32483726739883423},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2614721655845642},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.18118709325790405}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isc260477.2024.11004186","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc260477.2024.11004186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7300000190734863,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2061438946","https://openalex.org/W2156149207","https://openalex.org/W2549050693","https://openalex.org/W2773688601","https://openalex.org/W2905665596","https://openalex.org/W2912734793","https://openalex.org/W2923577799","https://openalex.org/W2980134720","https://openalex.org/W3011604333","https://openalex.org/W3134765678","https://openalex.org/W3176336385","https://openalex.org/W3210797426","https://openalex.org/W4225162243"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Electrical":[0],"power":[1,13,136],"quality":[2],"(PQ)":[3],"plays":[4],"a":[5,29,40,44,82,92],"crucial":[6],"role":[7],"in":[8,18,68,87,140,184],"ensuring":[9],"reliable":[10],"and":[11,66,73,100,142,163,209],"efficient":[12],"delivery":[14],"to":[15,151,204],"customers,":[16],"particularly":[17],"low-voltage":[19],"(LV)":[20],"distribution":[21,89],"systems":[22,90],"with":[23],"numerous":[24],"dispersed":[25],"customers.":[26],"Undervoltage":[27],"(UV),":[28],"common":[30],"PQ":[31],"disturbance,":[32],"can":[33,63],"arise":[34],"from":[35,110,135],"component":[36],"failures,":[37],"such":[38],"as":[39],"blown":[41],"fuse":[42],"on":[43,195],"transformer":[45],"phase":[46],"or":[47],"arcing":[48],"at":[49],"connection":[50],"points.":[51],"Traditional":[52],"methods":[53],"for":[54,84,117,159],"locating":[55,85],"voltage":[56,127],"sags":[57],"often":[58],"involve":[59],"field":[60],"inspection,":[61],"which":[62],"be":[64],"time-consuming":[65],"ineffective":[67],"identifying":[69],"the":[70,153,160,172,176,185,189,206],"precise":[71],"cause":[72],"location.":[74],"To":[75],"overcome":[76],"these":[77],"shortcomings,":[78],"this":[79],"work":[80],"proposes":[81],"methodology":[83],"UV":[86,212],"LV":[88],"utilizing":[91],"combination":[93],"of":[94,130,132],"Rule-Based,":[95],"Grey":[96],"Wolf":[97],"Optimizer":[98],"(GWO),":[99],"Support":[101],"Vector":[102],"Machine":[103],"(SVM)":[104],"techniques.":[105],"Actual":[106],"event-profile":[107],"load":[108],"data":[109,120],"electronic":[111],"energy":[112],"meters":[113],"(E-meters)":[114],"is":[115,122,149,169,182,192],"extracted":[116],"processing.":[118],"Rule-Based":[119],"extraction":[121],"implemented":[123],"under":[124],"certain":[125],"conditions,":[126],"deviations,":[128],"rate":[129],"change":[131],"voltage,":[133],"current":[134],"consumption":[137],"patterns,":[138],"changes":[139],"resistance":[141,143],"per":[144],"distance.":[145],"The":[146,166,199],"GWO":[147],"algorithm":[148],"used":[150],"optimize":[152],"combined":[154],"objective":[155],"function":[156],"that":[157],"searches":[158],"best":[161],"threshold":[162],"duration":[164],"values.":[165],"SVM":[167],"model":[168],"trained":[170],"using":[171],"labels":[173],"generated":[174],"by":[175],"optimized":[177,200],"rule-based":[178],"model,":[179],"whose":[180],"performance":[181],"included":[183],"optimization":[186],"process.":[187],"Additionally,":[188],"proposed":[190],"method":[191],"evaluated":[193],"based":[194],"real-world":[196],"case":[197],"scenarios.":[198],"rules":[201],"are":[202],"applied":[203],"identify":[205],"specific":[207],"times":[208],"locations":[210],"when":[211],"occurs.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}