{"id":"https://openalex.org/W4398199879","doi":"https://doi.org/10.1109/access.2024.3404268","title":"Wind Speed Multi-Step Forecasting Using High- Resolution and Multi-Objective Ensemble Model With Error Correction","display_name":"Wind Speed Multi-Step Forecasting Using High- Resolution and Multi-Objective Ensemble Model With Error Correction","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4398199879","doi":"https://doi.org/10.1109/access.2024.3404268"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3404268","doi":"https://doi.org/10.1109/access.2024.3404268","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3404268","pdf_url":null,"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,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3404268","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006386810","display_name":"Shengcai Zhang","orcid":"https://orcid.org/0009-0001-9322-0672","observed_orcids":["https://orcid.org/0009-0001-9322-0672"]},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]},{"id":"https://openalex.org/I4210125346","display_name":"Gansu Institute of Political Science and Law","ror":"https://ror.org/025km4h87","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125346"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengcai Zhang","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China","School of Cyber Security, Gansu University of Political Science and Law, Lanzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-9322-0672","affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]},{"raw_affiliation_string":"School of Cyber Security, Gansu University of Political Science and Law, Lanzhou, China","institution_ids":["https://openalex.org/I4210125346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103190808","display_name":"Changsheng Zhu","orcid":"https://orcid.org/0000-0002-6654-2000","observed_orcids":["https://orcid.org/0000-0002-6654-2000"]},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Zhu","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060145160","display_name":"Xiuting Guo","orcid":"https://orcid.org/0000-0002-8418-0920","observed_orcids":["https://orcid.org/0000-0002-8418-0920","https://orcid.org/0000-0002-3738-4365"]},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuting Guo","raw_affiliation_strings":["School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China","institution_ids":["https://openalex.org/I22716506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1995,"currency":"USD","value_usd":1995},"apc_paid":{"value":1995,"currency":"USD","value_usd":1995},"fwci":0.9518,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.6939415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"12","issue":null,"first_page":"73141","last_page":"73159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9990000128746033,"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":0.9990000128746033,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wind-speed-forecasting","display_name":"wind speed forecasting","score":0.9769999980926514},{"id":"https://openalex.org/keywords/multi-step-forecasting","display_name":"multi-step forecasting","score":0.9330000281333923},{"id":"https://openalex.org/keywords/variational-mode-decomposition","display_name":"variational mode decomposition","score":0.9330000281333923},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7900000214576721},{"id":"https://openalex.org/keywords/gated-recurrent-unit","display_name":"gated recurrent unit","score":0.949999988079071},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.7429999709129333},{"id":"https://openalex.org/keywords/error-correction","display_name":"error correction","score":0.7639999985694885},{"id":"https://openalex.org/keywords/white-shark-optimizer","display_name":"white shark optimizer","score":0.753000020980835},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.8690000176429749},{"id":"https://openalex.org/keywords/multiscale-feature-extraction","display_name":"multi-scale feature extraction","score":0.6470000147819519},{"id":"https://openalex.org/keywords/wind-power-systems","display_name":"wind power systems","score":0.5559999942779541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7189078330993652},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4869609773159027},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.4869345426559448},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4832914173603058},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.4450586438179016},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4403954744338989},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42423588037490845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30374473333358765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20486226677894592},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.10189375281333923},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08018466830253601},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3404268","doi":"https://doi.org/10.1109/access.2024.3404268","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3404268","pdf_url":null,"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,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ce974471e2944fbb989947dbab0832d8","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/ce974471e2944fbb989947dbab0832d8","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,"listed_in":[],"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 12, Pp 73141-73159 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3404268","doi":"https://doi.org/10.1109/access.2024.3404268","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3404268","pdf_url":null,"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,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5690000057220459,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"},{"score":0.46149998903274536,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1878444883","display_name":"\u57fa\u4e8eGPU\u96c6\u7fa4\u5f02\u6784\u5e76\u884c\u8ba1\u7b97\u7684\u5927\u89c4\u6a21\u591a\u573a\u8026\u5408\u76f8\u573a\u6a21\u578b\u6a21\u62df\u7814\u7a76","funder_award_id":"51661020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W2157331557","https://openalex.org/W2290883490","https://openalex.org/W2776150244","https://openalex.org/W2792616493","https://openalex.org/W2883208472","https://openalex.org/W2884415573","https://openalex.org/W2892004704","https://openalex.org/W2914597806","https://openalex.org/W2924950036","https://openalex.org/W2934809150","https://openalex.org/W2953885557","https://openalex.org/W2963599060","https://openalex.org/W2964052759","https://openalex.org/W2964515763","https://openalex.org/W2965492561","https://openalex.org/W2970227833","https://openalex.org/W2980223420","https://openalex.org/W2988272326","https://openalex.org/W2991362945","https://openalex.org/W2991902018","https://openalex.org/W2993333239","https://openalex.org/W2994855030","https://openalex.org/W3015428797","https://openalex.org/W3017771540","https://openalex.org/W3019251610","https://openalex.org/W3021074443","https://openalex.org/W3031449124","https://openalex.org/W3044436817","https://openalex.org/W3047472222","https://openalex.org/W3080928054","https://openalex.org/W3095556171","https://openalex.org/W3132882148","https://openalex.org/W3135463282","https://openalex.org/W3142873346","https://openalex.org/W3175291933","https://openalex.org/W3177045540","https://openalex.org/W3184152285","https://openalex.org/W3189366232","https://openalex.org/W3196068745","https://openalex.org/W3209150160","https://openalex.org/W3211193475","https://openalex.org/W3214202982","https://openalex.org/W3217613107","https://openalex.org/W4200027827","https://openalex.org/W4200052800","https://openalex.org/W4213080281","https://openalex.org/W4225243270","https://openalex.org/W4283743430","https://openalex.org/W4311809150","https://openalex.org/W4311858739","https://openalex.org/W4312201555","https://openalex.org/W4313461942","https://openalex.org/W4313593261","https://openalex.org/W4387885974"],"related_works":["https://openalex.org/W3031449124","https://openalex.org/W2964515763","https://openalex.org/W3184478618","https://openalex.org/W2768102848","https://openalex.org/W3083738814","https://openalex.org/W7161008480","https://openalex.org/W4229026374","https://openalex.org/W3015428797","https://openalex.org/W4404979270","https://openalex.org/W4383682160"],"abstract_inverted_index":{"Accurate":[0],"wind":[1,12,22,39,62,100],"forecasting":[2,46],"is":[3,83,107,162],"essential":[4],"for":[5,49,91,136,143],"enhancing":[6],"the":[7,16,35,44,77,87,97,104,155,166,170,184,190,199,208],"stability":[8],"and":[9,18,43,70,154,172,218],"efficiency":[10],"of":[11,21,37,118,169,201],"power":[13],"systems.":[14],"However,":[15],"nonlinear":[17],"unstable":[19],"characteristics":[20],"poses":[23],"significant":[24],"challenges":[25],"to":[26,85,121,164],"achieving":[27],"high-performance":[28],"predictions":[29],"in":[30,52,204],"this":[31,56],"domain.":[32],"To":[33],"address":[34],"issues":[36],"insufficient":[38],"speed":[40,63,101],"data":[41,51,69,106,195],"decomposition":[42,89],"limited":[45],"time":[47],"range":[48],"high-resolution":[50,68,99,194],"hybrid":[53,209],"prediction":[54,64,141],"models,":[55],"study":[57],"proposes":[58],"a":[59,130,213],"short-term,":[60],"multistep":[61,205,226],"model":[65,135,232],"based":[66],"on":[67,179],"multi-objective":[71,214],"integration":[72,216],"with":[73,114],"error":[74,173,219],"correction.":[75],"Initially,":[76],"White":[78],"Shark":[79],"Optimizer":[80],"(WSO)":[81],"algorithm":[82],"employed":[84],"determine":[86],"optimal":[88],"parameters":[90,168],"Variational":[92],"Mode":[93],"Decomposition":[94],"(VMD),":[95],"decomposing":[96],"original":[98],"data.":[102],"Secondly,":[103],"decomposed":[105],"processed":[108],"using":[109],"Convolutional":[110],"Neural":[111],"Networks":[112],"(CNN)":[113],"three":[115],"different":[116,146,180],"sizes":[117],"convolutional":[119],"kernels":[120],"capture":[122],"multi-scale":[123],"features,":[124],"which":[125,211],"are":[126,148],"then":[127],"fed":[128],"into":[129,150],"Gated":[131],"Recurrent":[132],"Unit":[133],"(GRU)":[134],"three-step":[137,140],"forecasting.":[138,206],"Finally,":[139],"results":[142,178],"features":[144],"across":[145],"scales":[147],"input":[149],"an":[151],"ensemble":[152,171],"module,":[153],"Non-Dominated":[156],"Sorting":[157],"Whale":[158],"Optimization":[159],"Algorithm":[160],"(NSWOA)":[161],"utilized":[163],"tune":[165],"weight":[167],"correction":[174],"(EC)":[175],"module.":[176],"Experimental":[177],"datasets":[181],"indicate":[182],"that":[183],"proposed":[185],"approach":[186],"not":[187,221],"only":[188,222],"leverages":[189],"detailed":[191],"information":[192],"from":[193],"but":[196,228],"also":[197,229],"addresses":[198],"issue":[200],"low":[202],"accuracy":[203],"Moreover,":[207],"model,":[210],"includes":[212],"optimization-based":[215],"module":[217],"correction,":[220],"provides":[223],"highly":[224],"accurate":[225],"forecasts":[227],"ensures":[230],"greater":[231],"stability.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-05-23T00:00:00"}