{"id":"https://openalex.org/W4417337089","doi":"https://doi.org/10.1109/access.2025.3644228","title":"Wind Turbine Power Curve Prediction Using Artificial Neural Networks: A SCADA-Based Approach","display_name":"Wind Turbine Power Curve Prediction Using Artificial Neural Networks: A SCADA-Based Approach","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4417337089","doi":"https://doi.org/10.1109/access.2025.3644228"},"language":null,"primary_location":{"id":"doi:10.1109/access.2025.3644228","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3644228","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,"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://doi.org/10.1109/access.2025.3644228","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061031382","display_name":"Vinicius de Lira Teixeira","orcid":"https://orcid.org/0000-0003-2690-2574"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vin\u00edcius De Lira Teixeira","raw_affiliation_strings":["Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#x00E9;, S&#x00E3;o Paulo, Brazil","Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#xE9;, S\u00e3o Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-2690-2574","affiliations":[{"raw_affiliation_string":"Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#x00E9;, S&#x00E3;o Paulo, Brazil","institution_ids":["https://openalex.org/I71715416"]},{"raw_affiliation_string":"Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#xE9;, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I71715416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002065551","display_name":"A. Hetem","orcid":"https://orcid.org/0000-0002-1049-4812"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Annibal Hetem","raw_affiliation_strings":["Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#x00E9;, S&#x00E3;o Paulo, Brazil","Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#xE9;, S\u00e3o Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-1049-4812","affiliations":[{"raw_affiliation_string":"Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#x00E9;, S&#x00E3;o Paulo, Brazil","institution_ids":["https://openalex.org/I71715416"]},{"raw_affiliation_string":"Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#xE9;, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I71715416"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Leandro Ferreira","orcid":"https://orcid.org/0000-0003-4684-8093"},"institutions":[{"id":"https://openalex.org/I23925101","display_name":"Universidade Federal de Alfenas","ror":"https://ror.org/034vpja60","country_code":"BR","type":"education","lineage":["https://openalex.org/I23925101"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leandro Ferreira","raw_affiliation_strings":["Institute of Applied Social Sciences, Federal University of Alfenas (UNIFAL-MG), Varginha, Minas Gerais, Brazil","Institute of Applied Social Sciences, Federal University of Alfenas, Varginha, Minas Gerais, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-4684-8093","affiliations":[{"raw_affiliation_string":"Institute of Applied Social Sciences, Federal University of Alfenas (UNIFAL-MG), Varginha, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I23925101"]},{"raw_affiliation_string":"Institute of Applied Social Sciences, Federal University of Alfenas, Varginha, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I23925101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001272896","display_name":"J\u00falio Carlos Teixeira","orcid":"https://orcid.org/0000-0002-1782-5231"},"institutions":[{"id":"https://openalex.org/I71715416","display_name":"Universidade Federal do ABC","ror":"https://ror.org/028kg9j04","country_code":"BR","type":"education","lineage":["https://openalex.org/I71715416"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"J\u00falio Carlos Teixeira","raw_affiliation_strings":["Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#x00E9;, S&#x00E3;o Paulo, Brazil","Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#xE9;, S\u00e3o Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-1782-5231","affiliations":[{"raw_affiliation_string":"Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#x00E9;, S&#x00E3;o Paulo, Brazil","institution_ids":["https://openalex.org/I71715416"]},{"raw_affiliation_string":"Center of Engineering, Modeling and Applied Social Sciences (CECS), Federal University of ABC (UFABC), Santo Andr&#xE9;, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I71715416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34783288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"212531","last_page":"212539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.8605999946594238,"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":0.8605999946594238,"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/T10680","display_name":"Wind Energy Research and Development","score":0.10819999873638153,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10740","display_name":"Wind Turbine Control Systems","score":0.010599999688565731,"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/wind-power","display_name":"Wind power","score":0.7976999878883362},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.6585000157356262},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.6251000165939331},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6215000152587891},{"id":"https://openalex.org/keywords/anemometer","display_name":"Anemometer","score":0.5188000202178955},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5162000060081482},{"id":"https://openalex.org/keywords/wind-power-forecasting","display_name":"Wind power forecasting","score":0.5062000155448914},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.4909999966621399},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.375}],"concepts":[{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.7976999878883362},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.6585000157356262},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.6251000165939331},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6215000152587891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5716999769210815},{"id":"https://openalex.org/C127882809","wikidata":"https://www.wikidata.org/wiki/Q175029","display_name":"Anemometer","level":3,"score":0.5188000202178955},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5162000060081482},{"id":"https://openalex.org/C2781084341","wikidata":"https://www.wikidata.org/wiki/Q2583670","display_name":"Wind power forecasting","level":4,"score":0.5062000155448914},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.4909999966621399},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.375},{"id":"https://openalex.org/C113863187","wikidata":"https://www.wikidata.org/wiki/Q17498","display_name":"SCADA","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C111538826","wikidata":"https://www.wikidata.org/wiki/Q1511415","display_name":"Density of air","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3407000005245209},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3391999900341034},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.3377000093460083},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C138187205","wikidata":"https://www.wikidata.org/wiki/Q131251","display_name":"Tangent","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.28369998931884766},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2754000127315521},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.26759999990463257},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2603999972343445},{"id":"https://openalex.org/C40293303","wikidata":"https://www.wikidata.org/wiki/Q27137","display_name":"Electric power","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/access.2025.3644228","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3644228","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,"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"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3644228","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3644228","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,"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":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1989665358","https://openalex.org/W1990208698","https://openalex.org/W2044963328","https://openalex.org/W2078772485","https://openalex.org/W2095369024","https://openalex.org/W2097466372","https://openalex.org/W2122173830","https://openalex.org/W2475727944","https://openalex.org/W2773527486","https://openalex.org/W2806170021","https://openalex.org/W2921139866","https://openalex.org/W2963698657","https://openalex.org/W2981208062","https://openalex.org/W3024448271","https://openalex.org/W3037336979","https://openalex.org/W3111730639","https://openalex.org/W3111927290","https://openalex.org/W3129472510","https://openalex.org/W3141346133","https://openalex.org/W3161433643","https://openalex.org/W3171798341","https://openalex.org/W4296371377","https://openalex.org/W4313433949","https://openalex.org/W4323338358","https://openalex.org/W4378697240","https://openalex.org/W4388040635","https://openalex.org/W4394711534","https://openalex.org/W4399327652","https://openalex.org/W4406259383","https://openalex.org/W4408441315","https://openalex.org/W4409642366","https://openalex.org/W4413120394"],"related_works":[],"abstract_inverted_index":{"Wind":[0],"energy":[1,25,206],"is":[2,20,28,47],"one":[3],"of":[4,24,96,110,175,190],"the":[5,21,89,101,120,136,141,159,166,188],"fastest-growing":[6],"renewable":[7],"sources":[8],"both":[9,126],"globally":[10],"and":[11,33,92,114,131,172,203],"in":[12,17,76],"Brazil.":[13,78],"A":[14,79],"key":[15],"challenge":[16],"this":[18],"sector":[19],"accurate":[22],"estimation":[23],"production,":[26],"which":[27,40],"affected":[29],"by":[30],"wind":[31,42,53,74,97,129,205],"variability":[32],"other":[34],"operational":[35,69],"factors.":[36],"The":[37,105,153],"power":[38,66,151],"curve,":[39],"relates":[41],"speed":[43,98,130],"to":[44,64,144,198],"electrical":[45],"power,":[46],"a":[48,73,195],"fundamental":[49],"tool":[50],"for":[51,201],"evaluating":[52],"turbine":[54],"performance.":[55],"This":[56],"study":[57],"proposes":[58],"an":[59,115],"artificial":[60],"neural":[61],"network":[62],"(ANN)":[63],"predict":[65],"curve":[67],"using":[68,88,119],"SCADA":[70],"data":[71],"from":[72],"farm":[75],"southern":[77],"robust":[80,196],"pre-processing":[81],"strategy":[82],"was":[83,138,156],"employed,":[84],"featuring":[85],"outlier":[86],"filtering":[87],"3-sigma":[90],"rule":[91],"air":[93,127],"density":[94],"normalization":[95],"as":[99,134,194],"per":[100],"IEC":[102,161],"61400-12-1":[103,162],"standard.":[104],"proposed":[106],"ANN":[107,167,192],"model":[108,137],"consists":[109],"four":[111],"hidden":[112],"layers":[113],"output":[116],"layer,":[117],"all":[118],"hyperbolic":[121],"tangent":[122],"activation":[123],"function.":[124],"Using":[125],"density-normalized":[128],"turbulence":[132],"intensity":[133],"inputs,":[135],"trained":[139],"with":[140,150,165],"Adam":[142],"optimizer":[143],"capture":[145],"their":[146],"complex":[147],"non-linear":[148],"relationship":[149],"output.":[152],"model\u2019s":[154],"performance":[155],"benchmarked":[157],"against":[158],"traditional":[160],"binning":[163],"method,":[164],"demonstrating":[168],"high":[169],"predictive":[170],"capability":[171],"achieving":[173],"coefficients":[174],"determination":[176],"(<italic":[177],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[178,180],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">R</i><sup":[179],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>)":[181],"greater":[182],"than":[183],"0.96.":[184],"These":[185],"results":[186],"underscore":[187],"potential":[189],"data-driven":[191],"models":[193],"alternative":[197],"standard":[199],"methods":[200],"monitoring":[202],"optimizing":[204],"production.":[207]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-15T00:00:00"}