{"id":"https://openalex.org/W4403446734","doi":"https://doi.org/10.1109/tsg.2024.3481894","title":"Cumulant Learning: Highly Accurate and Computationally Efficient Load Pattern Recognition Method for Probabilistic STLF at the LV Level","display_name":"Cumulant Learning: Highly Accurate and Computationally Efficient Load Pattern Recognition Method for Probabilistic STLF at the LV Level","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403446734","doi":"https://doi.org/10.1109/tsg.2024.3481894"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2024.3481894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2024.3481894","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"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 Smart Grid","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/A5011031819","display_name":"Igor Manojlovi\u0107","orcid":"https://orcid.org/0000-0003-3822-9241"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Igor Manojlovi\u0107","raw_affiliation_strings":["High-Tech Engineering Center LLC, Novi Sad, Serbia"],"raw_orcid":"https://orcid.org/0000-0003-3822-9241","affiliations":[{"raw_affiliation_string":"High-Tech Engineering Center LLC, Novi Sad, Serbia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080417326","display_name":"Goran \u0160venda","orcid":"https://orcid.org/0000-0003-4422-5175"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goran \u0160venda","raw_affiliation_strings":["High-Tech Engineering Center LLC, Novi Sad, Serbia"],"raw_orcid":"https://orcid.org/0000-0003-4422-5175","affiliations":[{"raw_affiliation_string":"High-Tech Engineering Center LLC, Novi Sad, Serbia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084379948","display_name":"Aleksandar Erdeljan","orcid":"https://orcid.org/0000-0002-8970-6928"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Aleksandar Erdeljan","raw_affiliation_strings":["Department of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia"],"raw_orcid":"https://orcid.org/0000-0002-8970-6928","affiliations":[{"raw_affiliation_string":"Department of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083115321","display_name":"Milan Gavri\u0107","orcid":"https://orcid.org/0000-0002-9486-2247"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Milan Gavri\u0107","raw_affiliation_strings":["Department of Power, Electronic and Telecommunication Engineering, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia"],"raw_orcid":"https://orcid.org/0000-0002-9486-2247","affiliations":[{"raw_affiliation_string":"Department of Power, Electronic and Telecommunication Engineering, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044487805","display_name":"Darko \u010capko","orcid":"https://orcid.org/0000-0002-9914-2804"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Darko \u010capko","raw_affiliation_strings":["Department of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia"],"raw_orcid":"https://orcid.org/0000-0002-9914-2804","affiliations":[{"raw_affiliation_string":"Department of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":0.1173,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38963896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":94},"biblio":{"volume":"16","issue":"2","first_page":"1938","last_page":"1949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9968000054359436,"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"}},"topics":[{"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"}},{"id":"https://openalex.org/T10454","display_name":"Optimal Power Flow Distribution","score":0.986299991607666,"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/T10305","display_name":"Power System Optimization and Stability","score":0.9848999977111816,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.5979853272438049},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5671728253364563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5308920741081238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5036715865135193},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3440288305282593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32072365283966064}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5979853272438049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5671728253364563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5308920741081238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5036715865135193},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3440288305282593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32072365283966064}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsg.2024.3481894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2024.3481894","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"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 Smart Grid","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W276006551","https://openalex.org/W1980680057","https://openalex.org/W1985059878","https://openalex.org/W2004025893","https://openalex.org/W2014192742","https://openalex.org/W2040970088","https://openalex.org/W2075117036","https://openalex.org/W2085487226","https://openalex.org/W2100495367","https://openalex.org/W2485034718","https://openalex.org/W2528237000","https://openalex.org/W2565330852","https://openalex.org/W2611424300","https://openalex.org/W2622052728","https://openalex.org/W2625224297","https://openalex.org/W2764018574","https://openalex.org/W2786918196","https://openalex.org/W2795649788","https://openalex.org/W2888917438","https://openalex.org/W2899494475","https://openalex.org/W2903925216","https://openalex.org/W2909508023","https://openalex.org/W2913037807","https://openalex.org/W2965516457","https://openalex.org/W2968594342","https://openalex.org/W2970172805","https://openalex.org/W2971126087","https://openalex.org/W2979430336","https://openalex.org/W2979990517","https://openalex.org/W2980994438","https://openalex.org/W2996221603","https://openalex.org/W2996426557","https://openalex.org/W3004437308","https://openalex.org/W3008533347","https://openalex.org/W3011590044","https://openalex.org/W3024158773","https://openalex.org/W3046998562","https://openalex.org/W3048319442","https://openalex.org/W3102477513","https://openalex.org/W3103937356","https://openalex.org/W3115188337","https://openalex.org/W3119683607","https://openalex.org/W3121939824","https://openalex.org/W3122056586","https://openalex.org/W3128758513","https://openalex.org/W3154031915","https://openalex.org/W3158464467","https://openalex.org/W3161945916","https://openalex.org/W3176181793","https://openalex.org/W3183845133","https://openalex.org/W3188413760","https://openalex.org/W3190028889","https://openalex.org/W3195901469","https://openalex.org/W3201755234","https://openalex.org/W3204450693","https://openalex.org/W4200240729","https://openalex.org/W4211021354","https://openalex.org/W4220910091","https://openalex.org/W4226154885","https://openalex.org/W4245436919","https://openalex.org/W4281899822","https://openalex.org/W4283217920","https://openalex.org/W4285081859","https://openalex.org/W4286615161","https://openalex.org/W4293799812","https://openalex.org/W4296704829","https://openalex.org/W4310174130","https://openalex.org/W4312085358","https://openalex.org/W4312258894","https://openalex.org/W4312603225","https://openalex.org/W4315706990","https://openalex.org/W4316135975","https://openalex.org/W4320498733","https://openalex.org/W4323897040","https://openalex.org/W4376631483","https://openalex.org/W4378894778","https://openalex.org/W4384461113","https://openalex.org/W4387321651","https://openalex.org/W4388569823","https://openalex.org/W6606319353","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,106],"new":[4],"load":[5,12,26,56,64,175,183],"pattern":[6],"recognition":[7],"method":[8,72,102,133,165],"for":[9,24,88,180,185],"probabilistic":[10],"short-term":[11],"forecasting":[13],"to":[14,135,169],"facilitate":[15],"the":[16,52,55,70,78,82,100,121,131,140,163],"management":[17],"of":[18,32,54,99,142],"low":[19],"voltage":[20],"networks":[21,119],"and":[22,81,94,123,150,171],"account":[23],"future":[25,79,182],"uncertainties":[27,184],"based":[28,42],"on":[29,43,109],"large":[30],"volumes":[31],"smart":[33,111],"meter":[34,112],"data.":[35],"The":[36,97,125,158],"proposed":[37,101,132,164],"method,":[38],"Cumulant":[39],"Learning,":[40],"is":[41,59,103,166],"clustered":[44],"loads":[45,90],"approximated":[46],"with":[47,91,146,155],"cumulants.":[48],"In":[49],"this":[50],"way,":[51],"size":[53],"data":[57,113,148],"model":[58],"reduced":[60],"without":[61],"losing":[62],"key":[63],"fluctuation":[65],"patterns.":[66],"For":[67],"that":[68,130,162],"purpose,":[69],"presented":[71],"uses":[73],"deep":[74],"learning":[75],"(to":[76,85],"predict":[77],"cumulants)":[80],"Cornish-Fisher":[83],"expansion":[84],"approximate":[86],"quantiles":[87],"similar":[89],"high":[92,136,147],"accuracy":[93,138],"computational":[95],"efficiency).":[96],"usefulness":[98],"demonstrated":[104],"in":[105,120],"case":[107,126],"study":[108,127],"real":[110],"from":[114],"two":[115],"essentially":[116],"different":[117],"distribution":[118],"U.K.":[122],"Australia.":[124],"results":[128,159],"show":[129,161],"leads":[134],"forecast":[137],"at":[139,173],"level":[141],"individual":[143],"low-voltage":[144],"consumers,":[145],"reduction":[149],"short":[151],"execution":[152],"time":[153],"compared":[154],"related":[156],"methods.":[157],"also":[160],"more":[167],"robust":[168],"outliers":[170],"better":[172],"predicting":[174],"surges,":[176],"making":[177],"it":[178],"suitable":[179],"quantifying":[181],"higher":[186],"probability":[187],"values.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}