{"id":"https://openalex.org/W4285334058","doi":"https://doi.org/10.1109/la-cci48322.2021.9769818","title":"A Hybrid Model With Error Correction for Wind Speed Forecasting","display_name":"A Hybrid Model With Error Correction for Wind Speed Forecasting","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W4285334058","doi":"https://doi.org/10.1109/la-cci48322.2021.9769818"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci48322.2021.9769818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci48322.2021.9769818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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/A5074479669","display_name":"Tathiana M. Barchi","orcid":"https://orcid.org/0000-0002-7402-692X"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Tathiana M. Barchi","raw_affiliation_strings":["Federal University of Technology - Paraná (UTFPR),Graduate Program in Computer Sciences (PPGCC),Ponta Grossa,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology - Paraná (UTFPR),Graduate Program in Computer Sciences (PPGCC),Ponta Grossa,Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055580384","display_name":"Lucas Francesco Piccioni Costa","orcid":"https://orcid.org/0000-0002-4314-6697"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucas F. P. Costa","raw_affiliation_strings":["Federal University of Technology - Paraná (UTFPR),Graduate Program in Production Engineering (PPGEP),Ponta Grossa,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology - Paraná (UTFPR),Graduate Program in Production Engineering (PPGEP),Ponta Grossa,Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066935422","display_name":"Erickson Puchta","orcid":"https://orcid.org/0000-0002-3924-7217"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Erickson Puchta","raw_affiliation_strings":["Federal University of Technology - Paraná (UTFPR),Graduate Program in Computer Sciences (PPGCC),Ponta Grossa,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology - Paraná (UTFPR),Graduate Program in Computer Sciences (PPGCC),Ponta Grossa,Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048329604","display_name":"Marcella Scoczynski Ribeiro Martins","orcid":"https://orcid.org/0000-0002-5716-4968"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcella S. R. Martins","raw_affiliation_strings":["Federal University of Technology - Paraná (UTFPR),Department of Electronic Engineering,Ponta Grossa,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology - Paraná (UTFPR),Department of Electronic Engineering,Ponta Grossa,Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053837772","display_name":"Mauren Louise Sguario Coelho de Andrade","orcid":"https://orcid.org/0000-0002-1745-7299"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mauren Louise Sguario Coelho de Andrade","raw_affiliation_strings":["Federal University of Technology - Paraná (UTFPR),Department of Science Computer,Ponta Grossa,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology - Paraná (UTFPR),Department of Science Computer,Ponta Grossa,Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028640369","display_name":"Paulo S. G. de Mattos Neto","orcid":"https://orcid.org/0000-0002-2396-7973"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo S. G. de Mattos Neto","raw_affiliation_strings":["Universidade Federal de Pernambuco,Centro de Informática,Recife,Brazil"],"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco,Centro de Informática,Recife,Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021970061","display_name":"Hugo Valadares Siqueira","orcid":"https://orcid.org/0000-0002-1278-4602"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Hugo Valadares Siqueira","raw_affiliation_strings":["Federal University of Technology - Paraná (UTFPR),Department of Electronic Engineering,Ponta Grossa,Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology - Paraná (UTFPR),Department of Electronic Engineering,Ponta Grossa,Brazil","institution_ids":["https://openalex.org/I1283613182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5074479669"],"corresponding_institution_ids":["https://openalex.org/I1283613182"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19614231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","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":1.0,"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":1.0,"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/T12368","display_name":"Grey System Theory Applications","score":0.9890000224113464,"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"}},{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.987500011920929,"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/wind-speed","display_name":"Wind speed","score":0.712609052658081},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6740081310272217},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.6722568869590759},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.6624726057052612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6480405330657959},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6330210566520691},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5576286315917969},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5392014384269714},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5180402398109436},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.479773610830307},{"id":"https://openalex.org/keywords/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.4561781585216522},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4159081280231476},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3323889374732971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32090091705322266},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25537070631980896},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.17877215147018433},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1475866138935089},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12436193227767944},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11497050523757935}],"concepts":[{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.712609052658081},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6740081310272217},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6722568869590759},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.6624726057052612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6480405330657959},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6330210566520691},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5576286315917969},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5392014384269714},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5180402398109436},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.479773610830307},{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.4561781585216522},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4159081280231476},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3323889374732971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32090091705322266},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25537070631980896},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.17877215147018433},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1475866138935089},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12436193227767944},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11497050523757935},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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":1,"locations":[{"id":"doi:10.1109/la-cci48322.2021.9769818","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci48322.2021.9769818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1863432064","https://openalex.org/W2009588584","https://openalex.org/W2060606400","https://openalex.org/W2073004501","https://openalex.org/W2111072639","https://openalex.org/W2116512828","https://openalex.org/W2117014758","https://openalex.org/W2134603844","https://openalex.org/W2503564502","https://openalex.org/W2548644148","https://openalex.org/W2592023122","https://openalex.org/W2598609792","https://openalex.org/W2766019683","https://openalex.org/W2883867434","https://openalex.org/W2886876600","https://openalex.org/W2890604518","https://openalex.org/W2916665415","https://openalex.org/W2924612406","https://openalex.org/W2963182713","https://openalex.org/W3013638355","https://openalex.org/W3049152851","https://openalex.org/W3080571793","https://openalex.org/W3082366482","https://openalex.org/W3086051222","https://openalex.org/W3094626844","https://openalex.org/W6759676155","https://openalex.org/W6760493437"],"related_works":["https://openalex.org/W2606910468","https://openalex.org/W3116827148","https://openalex.org/W3120843198","https://openalex.org/W2799656149","https://openalex.org/W2154965898","https://openalex.org/W2036704594","https://openalex.org/W4226315710","https://openalex.org/W3083782034","https://openalex.org/W4287185323","https://openalex.org/W2995801509"],"abstract_inverted_index":{"In":[0,44],"recent":[1],"times":[2],"wind":[3,19,86],"energy":[4],"generation":[5],"has":[6],"stood":[7],"out":[8],"due":[9],"its":[10,42],"integration":[11],"with":[12],"traditional":[13],"electricity":[14],"grids.":[15],"Many":[16],"investigations":[17],"addressed":[18],"speed":[20],"forecasting":[21],"since":[22],"it":[23],"presents":[24],"high":[25],"volatile":[26],"and":[27,60,65,103],"intermittent":[28],"behavior.":[29],"Due":[30],"to":[31,41,78,101],"this,":[32],"such":[33],"a":[34,47],"source":[35],"shows":[36],"accuracy":[37],"challenges":[38],"in":[39,74,85,99],"relation":[40],"prediction.":[43],"this":[45],"work,":[46],"hybrid":[48,94],"model":[49,64,95],"based":[50],"on":[51],"error":[52],"correction":[53],"is":[54],"proposed,":[55],"combining":[56],"the":[57,66,79,92],"linear":[58,102],"Autoregressive":[59],"Moving":[61],"average":[62],"(ARMA)":[63],"Multilayer":[67],"Perceptron":[68],"(MLP).":[69],"The":[70,88],"approaches":[71],"was":[72],"applied":[73],"two":[75],"databases":[76],"referring":[77],"Brazilian":[80],"northeast":[81],"-a":[82],"prominent":[83],"region":[84],"energy.":[87],"results":[89,98],"reveal":[90],"that":[91],"proposed":[93],"showed":[96],"good":[97],"comparison":[100],"neural-based":[104],"methods.":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}