{"id":"https://openalex.org/W4296501355","doi":"https://doi.org/10.1109/access.2022.3208139","title":"Umformer: A Transformer Dedicated to Univariate Multistep Prediction","display_name":"Umformer: A Transformer Dedicated to Univariate Multistep Prediction","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4296501355","doi":"https://doi.org/10.1109/access.2022.3208139"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3208139","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3208139","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09895412.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09895412.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101660399","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-4530-9429"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Li","raw_affiliation_strings":["Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102026308","display_name":"Qinghui Chen","orcid":"https://orcid.org/0000-0001-5504-2951"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghui Chen","raw_affiliation_strings":["Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5504-2951","affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056862464","display_name":"Gang Li","orcid":"https://orcid.org/0000-0002-7896-4833"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024839815","display_name":"Delong Han","orcid":"https://orcid.org/0000-0001-7195-3413"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Delong Han","raw_affiliation_strings":["Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101660399"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5398,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62669389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"101347","last_page":"101361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.973614513874054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7255120873451233},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5797914862632751},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.5646520256996155},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4999973773956299},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4430212080478668},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4257754385471344},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.41159695386886597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38358086347579956},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.12796473503112793},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10232973098754883},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0936935544013977}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.973614513874054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7255120873451233},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5797914862632751},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.5646520256996155},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4999973773956299},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4430212080478668},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4257754385471344},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.41159695386886597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38358086347579956},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.12796473503112793},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10232973098754883},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0936935544013977},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3208139","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3208139","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09895412.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:25e2667528c84f7883f5b97884ddc2de","is_oa":true,"landing_page_url":"https://doaj.org/article/25e2667528c84f7883f5b97884ddc2de","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 101347-101361 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3208139","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3208139","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09895412.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G108708670","display_name":null,"funder_award_id":"SD2019-161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1908036896","display_name":null,"funder_award_id":"ZR2020MG075","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6536410183","display_name":null,"funder_award_id":"SD2019-161","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296501355.pdf","grobid_xml":"https://content.openalex.org/works/W4296501355.grobid-xml"},"referenced_works_count":77,"referenced_works":["https://openalex.org/W854541894","https://openalex.org/W1649273148","https://openalex.org/W1975994995","https://openalex.org/W1981407057","https://openalex.org/W1988300964","https://openalex.org/W1998386497","https://openalex.org/W2006487144","https://openalex.org/W2024377782","https://openalex.org/W2066944697","https://openalex.org/W2083241675","https://openalex.org/W2090457102","https://openalex.org/W2091812280","https://openalex.org/W2095551575","https://openalex.org/W2126831543","https://openalex.org/W2132782512","https://openalex.org/W2133720763","https://openalex.org/W2356183642","https://openalex.org/W2402268235","https://openalex.org/W2548975497","https://openalex.org/W2573587735","https://openalex.org/W2604847698","https://openalex.org/W2747599906","https://openalex.org/W2754252319","https://openalex.org/W2781660332","https://openalex.org/W2783563981","https://openalex.org/W2792326773","https://openalex.org/W2891511127","https://openalex.org/W2899663614","https://openalex.org/W2901643386","https://openalex.org/W2903132559","https://openalex.org/W2909877301","https://openalex.org/W2912336747","https://openalex.org/W2946775356","https://openalex.org/W2957267206","https://openalex.org/W2963196848","https://openalex.org/W2963358464","https://openalex.org/W2963495788","https://openalex.org/W2963532813","https://openalex.org/W2964110616","https://openalex.org/W2969308181","https://openalex.org/W3000386982","https://openalex.org/W3002709689","https://openalex.org/W3006914768","https://openalex.org/W3015468748","https://openalex.org/W3034749137","https://openalex.org/W3082970222","https://openalex.org/W3085422212","https://openalex.org/W3106298483","https://openalex.org/W3110420963","https://openalex.org/W3171884590","https://openalex.org/W3177318507","https://openalex.org/W3199539430","https://openalex.org/W4230410911","https://openalex.org/W4236791387","https://openalex.org/W4248122244","https://openalex.org/W4295838474","https://openalex.org/W4299397599","https://openalex.org/W4301581299","https://openalex.org/W6623517193","https://openalex.org/W6676179485","https://openalex.org/W6731370813","https://openalex.org/W6739901393","https://openalex.org/W6746015598","https://openalex.org/W6749075489","https://openalex.org/W6754695959","https://openalex.org/W6755977528","https://openalex.org/W6763007057","https://openalex.org/W6763335161","https://openalex.org/W6764679822","https://openalex.org/W6771626834","https://openalex.org/W6773017188","https://openalex.org/W6773071120","https://openalex.org/W6773820404","https://openalex.org/W6776048684","https://openalex.org/W6782843240","https://openalex.org/W6787356957","https://openalex.org/W6796991441"],"related_works":["https://openalex.org/W1828158523","https://openalex.org/W2049578243","https://openalex.org/W2122079181","https://openalex.org/W2000145235","https://openalex.org/W3122045730","https://openalex.org/W2889939530","https://openalex.org/W1985848810","https://openalex.org/W2354804553","https://openalex.org/W2267173916","https://openalex.org/W3047649645"],"abstract_inverted_index":{"Univariate":[0],"multi-step":[1,36,84],"time":[2],"series":[3],"forecasting":[4,69,74,85],"(UMTF)":[5],"has":[6],"many":[7],"applications,":[8],"such":[9],"as":[10,129],"the":[11,19,33,53,94,134,173,202],"forecast":[12],"of":[13,35,40,48,57,73,136,151,177],"access":[14],"traffic.":[15],"The":[16,38,88],"solution":[17,54,216],"to":[18,23,132,181],"UMTF":[20,58],"problem":[21],"needs":[22],"efficiently":[24],"capture":[25],"key":[26],"information":[27,95,146],"in":[28,71,139,185],"univariate":[29,68,83,152],"data":[30],"and":[31,55,154,168],"improve":[32,133],"accuracy":[34],"forecasting.":[37],"advent":[39],"deep":[41],"learning":[42],"(DL)":[43],"enables":[44],"multi-level,":[45],"high-performance":[46],"prediction":[47,156,184],"complex":[49],"multivariate":[50],"inputs,":[51],"but":[52],"research":[56,175],"problems":[59],"is":[60,205],"extremely":[61],"scarce.":[62],"Existing":[63],"methods":[64],"cannot":[65],"satisfy":[66],"recent":[67],"tasks":[70],"terms":[72],"accuracy,":[75],"efficiency,":[76],"etc.":[77],"This":[78],"paper":[79],"proposes":[80],"a":[81,98,103,130,148,213],"Transformer-based":[82],"model:":[86],"Umformer.":[87],"contributions":[89],"include:":[90],"(1)":[91],"To":[92],"maximize":[93],"obtained":[96],"from":[97,147,191],"single":[99],"variable,":[100],"we":[101],"propose":[102],"Prophet-based":[104],"method":[105],"for":[106,114,217],"variable":[107],"extraction,":[108],"additionally":[109],"considering":[110],"some":[111],"correlated":[112],"variables":[113,153],"accurate":[115],"predictions.":[116],"(2)":[117],"Gated":[118],"linear":[119],"units":[120],"variants":[121],"with":[122],"three":[123],"weight":[124],"matrices":[125],"(GLUV3)":[126],"are":[127],"designed,":[128],"gating":[131],"function":[135],"selective":[137],"memory":[138,166],"long":[140],"sequences,":[141],"thereby":[142],"obtaining":[143],"more":[144,214],"helpful":[145],"limited":[149],"number":[150],"improving":[155],"accuracy.":[157],"(3)":[158],"Shared":[159],"Double-heads":[160],"Probsparse":[161],"Attention":[162],"(SDHPA)":[163],"mechanism":[164],"reduces":[165],"footprint":[167],"improves":[169],"attention-awareness.":[170],"We":[171,211],"combine":[172],"latest":[174],"results":[176],"current":[178],"DL":[179],"technology":[180],"achieve":[182],"high-precision":[183],"UMTF.Extensive":[186],"experiments":[187],"on":[188],"public":[189],"datasets":[190],"five":[192,198],"different":[193],"domains":[194],"have":[195],"shown":[196],"that":[197,201],"metrics":[199],"demonstrate":[200],"Umformer":[203],"approach":[204],"significantly":[206],"better":[207],"than":[208],"existing":[209],"methods.":[210],"offer":[212],"efficient":[215],"UMTF.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
