{"id":"https://openalex.org/W4293068799","doi":"https://doi.org/10.1007/s44196-022-00128-y","title":"Short-Term Electrical Load Forecasting Based on Time Augmented Transformer","display_name":"Short-Term Electrical Load Forecasting Based on Time Augmented Transformer","publication_year":2022,"publication_date":"2022-08-18","ids":{"openalex":"https://openalex.org/W4293068799","doi":"https://doi.org/10.1007/s44196-022-00128-y"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-022-00128-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-022-00128-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-022-00128-y.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-022-00128-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058038120","display_name":"Guangqi Zhang","orcid":"https://orcid.org/0000-0002-7151-2885"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangqi Zhang","raw_affiliation_strings":["School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045358070","display_name":"Chuyuan Wei","orcid":"https://orcid.org/0000-0003-0352-3002"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuyuan Wei","raw_affiliation_strings":["School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China"],"raw_orcid":"https://orcid.org/0000-0003-0352-3002","affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009114126","display_name":"Changfeng Jing","orcid":"https://orcid.org/0000-0002-1270-5353"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changfeng Jing","raw_affiliation_strings":["School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088853488","display_name":"Yanxue Wang","orcid":"https://orcid.org/0000-0001-8739-4740"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxue Wang","raw_affiliation_strings":["School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044, China","institution_ids":["https://openalex.org/I62853816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045358070"],"corresponding_institution_ids":["https://openalex.org/I62853816"],"apc_list":{"value":1390,"currency":"GBP","value_usd":1704},"apc_paid":{"value":1390,"currency":"GBP","value_usd":1704},"fwci":3.416,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.93123257,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"15","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9997000098228455,"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":0.9997000098228455,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9965000152587891,"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/T10320","display_name":"Neural Networks and Applications","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.818867564201355},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7337267398834229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5815720558166504},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5750336647033691},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5506108999252319},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5499134659767151},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5000088214874268},{"id":"https://openalex.org/keywords/electrical-load","display_name":"Electrical load","score":0.48812875151634216},{"id":"https://openalex.org/keywords/sequence-learning","display_name":"Sequence learning","score":0.4486605226993561},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41436392068862915},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.24327406287193298},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09714251756668091}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.818867564201355},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7337267398834229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5815720558166504},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5750336647033691},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5506108999252319},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5499134659767151},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5000088214874268},{"id":"https://openalex.org/C77715397","wikidata":"https://www.wikidata.org/wiki/Q931447","display_name":"Electrical load","level":3,"score":0.48812875151634216},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.4486605226993561},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41436392068862915},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.24327406287193298},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09714251756668091},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-022-00128-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-022-00128-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-022-00128-y.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2e6fe79c99f54267ab5030c07c39b9c6","is_oa":true,"landing_page_url":"https://doaj.org/article/2e6fe79c99f54267ab5030c07c39b9c6","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":"International Journal of Computational Intelligence Systems, Vol 15, Iss 1, Pp 1-11 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-022-00128-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-022-00128-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-022-00128-y.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293068799.pdf","grobid_xml":"https://content.openalex.org/works/W4293068799.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1514611985","https://openalex.org/W1851998939","https://openalex.org/W1902237438","https://openalex.org/W2064675550","https://openalex.org/W2137775720","https://openalex.org/W2194775991","https://openalex.org/W2538107750","https://openalex.org/W2598601173","https://openalex.org/W2614689352","https://openalex.org/W2820191439","https://openalex.org/W2889386826","https://openalex.org/W2947934295","https://openalex.org/W2960560113","https://openalex.org/W2964121744","https://openalex.org/W2969308181","https://openalex.org/W2980471844","https://openalex.org/W3002709689","https://openalex.org/W3031648028","https://openalex.org/W3045300245","https://openalex.org/W3084535629","https://openalex.org/W3094673547","https://openalex.org/W3109872608","https://openalex.org/W3112697087","https://openalex.org/W3120726020","https://openalex.org/W3128608971","https://openalex.org/W3136021864","https://openalex.org/W3158121765","https://openalex.org/W3166512129","https://openalex.org/W4297734170","https://openalex.org/W4394666973"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W3032952384","https://openalex.org/W3034302643","https://openalex.org/W1847088711","https://openalex.org/W3008584592","https://openalex.org/W2597948870","https://openalex.org/W4298043863","https://openalex.org/W2428505524"],"abstract_inverted_index":{"Abstract":[0],"Electrical":[1],"load":[2,35,51,149,176,189,201,231],"forecasting":[3,36,177,202],"is":[4,37,79,96,157],"of":[5,30,76,197],"vital":[6],"importance":[7],"in":[8,18,91,155,224,229],"intelligent":[9],"power":[10,50,175],"management":[11],"and":[12,28,53,111,190,210,227],"has":[13,120],"been":[14],"a":[15,39,97,140,184],"hot":[16],"spot":[17],"industrial":[19],"Internet":[20],"application":[21],"field.":[22],"Due":[23],"to":[24,69,86,159,170,172,194],"the":[25,31,60,74,87,125,161,166,173,195,198,214,219],"complex":[26,126],"patterns":[27],"dynamics":[29],"data,":[32],"accurate":[33],"short-term":[34,147,174,230],"still":[38],"challenging":[40],"task.":[41,178],"Currently,":[42],"many":[43],"tasks":[44],"use":[45,55],"deep":[46,98,211],"neural":[47,57,93],"networks":[48],"for":[49,103,123,146,187],"forecasting,":[52],"most":[54],"recurrent":[56,92],"network":[58],"as":[59,81,83],"basic":[61],"architecture,":[62],"including":[63,204],"Long":[64],"Short-Term":[65],"Memory":[66],"(LSTM),":[67],"Sequence":[68,70],"(Seq2Seq),":[71],"etc.":[72],"However,":[73],"performance":[75,122,196],"these":[77],"models":[78],"not":[80],"good":[82],"expected":[84],"due":[85],"gradient":[88],"vanishing":[89],"problem":[90],"network.":[94],"Transformer":[95,144],"learning":[99,209,212],"model":[100,141,203,222],"initially":[101],"designed":[102,158],"natural":[104],"language":[105],"processing,":[106],"it":[107,193],"calculates":[108],"input\u2013output":[109],"representations":[110],"captures":[112],"long":[113,132],"dependencies":[114],"entirely":[115],"on":[116,131,183],"attention":[117],"mechanisms":[118],"which":[119],"great":[121],"capturing":[124],"dynamic":[127],"nonlinear":[128],"sequence":[129,133],"dependence":[130],"input.":[134],"In":[135],"this":[136],"work,":[137],"we":[138],"proposed":[139,220],"Time":[142],"Augmented":[143],"(TAT)":[145],"electrical":[148,188,200],"forecasting.":[150,232],"A":[151],"temporal":[152,162],"augmented":[153],"module":[154],"TAT":[156,221],"learn":[160],"relationships":[163],"representation":[164],"between":[165],"input":[167],"history":[168],"series":[169],"adapt":[171],"We":[179],"evaluate":[180],"our":[181],"approach":[182],"real-word":[185],"dataset":[186],"extensively":[191],"compared":[192],"existed":[199],"statistical":[205],"approach,":[206],"traditional":[207],"machine":[208],"methods,":[213],"experimental":[215],"results":[216,223],"show":[217],"that":[218],"higher":[225],"precision":[226],"accuracy":[228]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}