{"id":"https://openalex.org/W4415125823","doi":"https://doi.org/10.1109/fuzz62266.2025.11197671","title":"A New Data-Driven Interval Type-2 Fuzzy Forecasting Approach for Load Forecasting","display_name":"A New Data-Driven Interval Type-2 Fuzzy Forecasting Approach for Load Forecasting","publication_year":2025,"publication_date":"2025-07-06","ids":{"openalex":"https://openalex.org/W4415125823","doi":"https://doi.org/10.1109/fuzz62266.2025.11197671"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz62266.2025.11197671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz62266.2025.11197671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Fuzzy Systems (FUZZ)","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/A5026244989","display_name":"Arthur Caio Vargas e Pinto","orcid":"https://orcid.org/0000-0002-0762-0072"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Arthur Caio Vargas e Pinto","raw_affiliation_strings":["Graduate Program in Electrical Engineering, Universidade Federal de Juiz de Fora,Juiz de Fora,Brazil"],"affiliations":[{"raw_affiliation_string":"Graduate Program in Electrical Engineering, Universidade Federal de Juiz de Fora,Juiz de Fora,Brazil","institution_ids":["https://openalex.org/I101100930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038448571","display_name":"Omid Orang","orcid":"https://orcid.org/0000-0002-4077-3775"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Omid Orang","raw_affiliation_strings":["Universidade Federal de Minas Gerais,Department of Computer Science,Belo Horizonte,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais,Department of Computer Science,Belo Horizonte,Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053773659","display_name":"Frederico Gadelha Guimar\u00e3es","orcid":"https://orcid.org/0000-0001-9238-8839"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Frederico Gadelha Guimar\u00e3es","raw_affiliation_strings":["Universidade Federal de Minas Gerais,Department of Computer Science,Belo Horizonte,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais,Department of Computer Science,Belo Horizonte,Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043251716","display_name":"Eduardo Pestana de Aguiar","orcid":"https://orcid.org/0000-0001-7458-8976"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo Pestana de Aguiar","raw_affiliation_strings":["Universidade Federal de Juiz de Fora,Department of Mechanical Engineering,Juiz de Fora,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Juiz de Fora,Department of Mechanical Engineering,Juiz de Fora,Brazil","institution_ids":["https://openalex.org/I101100930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026244989"],"corresponding_institution_ids":["https://openalex.org/I101100930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27855777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9950000047683716,"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":0.9950000047683716,"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/interval","display_name":"Interval (graph theory)","score":0.6685000061988831},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6603999733924866},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.4875999987125397},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4729999899864197},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.4661000072956085},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.45669999718666077},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4239000082015991},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.3968999981880188}],"concepts":[{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6685000061988831},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6603999733924866},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5812000036239624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5620999932289124},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.4875999987125397},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4729999899864197},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4661000072956085},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.45669999718666077},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4239000082015991},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.3968999981880188},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.38850000500679016},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.3880999982357025},{"id":"https://openalex.org/C2983220686","wikidata":"https://www.wikidata.org/wiki/Q951437","display_name":"Interval data","level":3,"score":0.3788999915122986},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.34130001068115234},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3059000074863434},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2985999882221222},{"id":"https://openalex.org/C2778865114","wikidata":"https://www.wikidata.org/wiki/Q7882489","display_name":"Uncertain data","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C137912672","wikidata":"https://www.wikidata.org/wiki/Q1967096","display_name":"Possibility theory","level":4,"score":0.2678999900817871},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2624000012874603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2549000084400177},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz62266.2025.11197671","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz62266.2025.11197671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Fuzzy Systems (FUZZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2993295641","display_name":null,"funder_award_id":"304856/2025-8","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1963502807","https://openalex.org/W1972071258","https://openalex.org/W1993503008","https://openalex.org/W1998726167","https://openalex.org/W2105113966","https://openalex.org/W2165396372","https://openalex.org/W2168577773","https://openalex.org/W2804213466","https://openalex.org/W2804281078","https://openalex.org/W2900048708","https://openalex.org/W2923573337","https://openalex.org/W2951442608","https://openalex.org/W2975745452","https://openalex.org/W3028209913","https://openalex.org/W3164114451","https://openalex.org/W3184567112","https://openalex.org/W4224278616","https://openalex.org/W4285297243","https://openalex.org/W4285796186","https://openalex.org/W4385622863","https://openalex.org/W4386261810","https://openalex.org/W4388346873","https://openalex.org/W4391099681","https://openalex.org/W4400035813"],"related_works":[],"abstract_inverted_index":{"This":[0,46],"paper":[1],"introduces":[2],"ADP-T2LIMG,":[3],"a":[4,100],"new":[5,47],"datadriven":[6],"interval":[7,23],"type-2":[8,24],"fuzzy":[9,25,66],"time":[10],"series":[11],"(FTS)":[12],"forecasting":[13,18,70,113],"method":[14],"applied":[15],"in":[16,42,68,118],"load":[17],"applications.":[19],"The":[20,80],"model":[21,48,82],"integrates":[22],"logic":[26],"with":[27,76,133],"an":[28],"autonomous":[29],"data":[30,78,91],"partitioning":[31],"(ADP)":[32],"algorithm":[33],"to":[34,59],"address":[35],"the":[36,50,65,69,77,93,130,137],"challenges":[37],"of":[38,120],"uncertainty":[39],"and":[40,63,95],"non-linearity":[41],"energy":[43,89],"demand":[44],"data.":[45],"leverages":[49],"parameters":[51],"from":[52,92],"ADP's":[53],"output,":[54],"utilizing":[55],"this":[56],"enriched":[57],"information":[58],"more":[60,74],"accurately":[61],"design":[62],"define":[64],"sets":[67],"model,":[71],"aligning":[72],"them":[73],"closely":[75],"distribution.":[79],"proposed":[81],"is":[83],"evaluated":[84],"on":[85],"five":[86],"datasets,":[87,98],"including":[88],"consumption":[90],"PJM":[94],"GEFCom":[96],"2012":[97],"using":[99],"sliding":[101],"window":[102],"methodology":[103],"for":[104],"crossvalidation.":[105],"Experimental":[106],"results":[107],"demonstrate":[108],"that":[109],"ADP-T2LIMG":[110],"outperforms":[111],"state-of-the-art":[112],"techniques":[114],"across":[115],"all":[116],"datasets":[117],"terms":[119],"root":[121],"mean":[122],"square":[123],"error":[124],"(RMSE).":[125],"Statistical":[126],"analysis":[127],"further":[128],"confirms":[129],"model's":[131],"superiority,":[132],"ADPT2LIMG":[134],"consistently":[135],"achieving":[136],"highest":[138],"rankings.":[139]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-14T00:00:00"}
