{"id":"https://openalex.org/W4410414755","doi":"https://doi.org/10.1177/10692509251337224","title":"Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning","display_name":"Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning","publication_year":2025,"publication_date":"2025-05-15","ids":{"openalex":"https://openalex.org/W4410414755","doi":"https://doi.org/10.1177/10692509251337224"},"language":"en","primary_location":{"id":"doi:10.1177/10692509251337224","is_oa":false,"landing_page_url":"https://doi.org/10.1177/10692509251337224","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided Engineering","raw_type":"journal-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/A5073822501","display_name":"Rafael Ayll\u00f3n-Gavil\u00e1n","orcid":"https://orcid.org/0000-0003-3024-6194"},"institutions":[{"id":"https://openalex.org/I4210093628","display_name":"Instituto Maim\u00f3nides de Investigaci\u00f3n Biom\u00e9dica de C\u00f3rdoba","ror":"https://ror.org/00j9b6f88","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210093628"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rafael Ayll\u00f3n-Gavil\u00e1n","raw_affiliation_strings":["Department of Clinical-Epidemiological Research in Primary Care, Instituto Maim\u00f3nides de Investigaci\u00f3n Biom\u00e9dica de C\u00f3rdoba, C\u00f3rdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Clinical-Epidemiological Research in Primary Care, Instituto Maim\u00f3nides de Investigaci\u00f3n Biom\u00e9dica de C\u00f3rdoba, C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I4210093628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022605799","display_name":"Antonio M. G\u00f3mez-Orellana","orcid":"https://orcid.org/0000-0002-1929-2408"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Manuel G\u00f3mez-Orellana","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102762557","display_name":"V\u00edctor Manuel Vargas","orcid":"https://orcid.org/0000-0002-0700-275X"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"V\u00edctor Manuel Vargas","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039083315","display_name":"David Guijo-Rubio","orcid":"https://orcid.org/0000-0002-8035-4057"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David Guijo-Rubio","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073509546","display_name":"Jorge P\u00e9rez\u2010Aracil","orcid":null},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jorge P\u00e9rez-Aracil","raw_affiliation_strings":["Department of Signal Processing and Communications, Universidad de Alcal\u00e1, Alcal\u00e1 de Henares, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing and Communications, Universidad de Alcal\u00e1, Alcal\u00e1 de Henares, Madrid, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060780612","display_name":"Sancho Salcedo\u2010Sanz","orcid":"https://orcid.org/0000-0002-4048-1676"},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Sancho Salcedo-Sanz","raw_affiliation_strings":["Department of Signal Processing and Communications, Universidad de Alcal\u00e1, Alcal\u00e1 de Henares, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing and Communications, Universidad de Alcal\u00e1, Alcal\u00e1 de Henares, Madrid, Spain","institution_ids":["https://openalex.org/I189268942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063964437","display_name":"Pedro Antonio Guti\u00e9rrez","orcid":"https://orcid.org/0000-0002-2657-776X"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pedro Antonio Guti\u00e9rrez","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086980043","display_name":"C\u00e9sar Herv\u00e1s\u2010Mart\u00ednez","orcid":"https://orcid.org/0000-0003-4564-1816"},"institutions":[{"id":"https://openalex.org/I53110688","display_name":"University of C\u00f3rdoba","ror":"https://ror.org/05yc77b46","country_code":"ES","type":"education","lineage":["https://openalex.org/I53110688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"C\u00e9sar Herv\u00e1s-Mart\u00ednez","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Universidad de C\u00f3rdoba, C\u00f3rdoba, Spain","institution_ids":["https://openalex.org/I53110688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5060780612"],"corresponding_institution_ids":["https://openalex.org/I189268942"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08568324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"4","first_page":"366","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9969000220298767,"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"}},{"id":"https://openalex.org/T10680","display_name":"Wind Energy Research and Development","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6529384851455688},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6340814232826233},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.5795400738716125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5792900323867798},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5354457497596741},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41514983773231506},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.19384720921516418},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1676943600177765},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08622917532920837}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6529384851455688},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6340814232826233},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.5795400738716125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5792900323867798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5354457497596741},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41514983773231506},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.19384720921516418},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1676943600177765},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08622917532920837},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/10692509251337224","is_oa":false,"landing_page_url":"https://doi.org/10.1177/10692509251337224","pdf_url":null,"source":{"id":"https://openalex.org/S107631664","display_name":"Integrated Computer-Aided Engineering","issn_l":"1069-2509","issn":["1069-2509","1875-8835"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Integrated Computer-Aided Engineering","raw_type":"journal-article"},{"id":"pmh:oai:helvia.uco.es:10396/33290","is_oa":false,"landing_page_url":"http://hdl.handle.net/10396/33290","pdf_url":null,"source":{"id":"https://openalex.org/S4306401816","display_name":"Universidad de C\u00f3rdoba Insitutional Repository (Universidad de C\u00f3rdoba)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210163269","host_organization_name":"Universidad Paccioli de C\u00f3rdoba","host_organization_lineage":["https://openalex.org/I4210163269"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ayll\u00f3n-Gavil\u00e1n R, Manuel G\u00f3mez-Orellana A, Manuel Vargas V, et al. Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning. Integrated Computer-Aided Engineering. 2025;0(0). doi:10.1177/10692509251337224","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W62275428","https://openalex.org/W1498436455","https://openalex.org/W1972271182","https://openalex.org/W1976026023","https://openalex.org/W1977587074","https://openalex.org/W1985727987","https://openalex.org/W2024692966","https://openalex.org/W2025458787","https://openalex.org/W2039306928","https://openalex.org/W2071942969","https://openalex.org/W2078850322","https://openalex.org/W2083620425","https://openalex.org/W2097117768","https://openalex.org/W2120912971","https://openalex.org/W2122825543","https://openalex.org/W2150789019","https://openalex.org/W2168148636","https://openalex.org/W2261066783","https://openalex.org/W2293337803","https://openalex.org/W2516010575","https://openalex.org/W2517756674","https://openalex.org/W2624832571","https://openalex.org/W2805587443","https://openalex.org/W2883694838","https://openalex.org/W2915783575","https://openalex.org/W2965492561","https://openalex.org/W2966126335","https://openalex.org/W2999628933","https://openalex.org/W3087741866","https://openalex.org/W3092436878","https://openalex.org/W3116684128","https://openalex.org/W3125923133","https://openalex.org/W3141797743","https://openalex.org/W3194551410","https://openalex.org/W3199589513","https://openalex.org/W3200304500","https://openalex.org/W3201095897","https://openalex.org/W4200018610","https://openalex.org/W4287729747","https://openalex.org/W4323108439","https://openalex.org/W4377093843","https://openalex.org/W4385789940","https://openalex.org/W4391723882","https://openalex.org/W4392977112","https://openalex.org/W4393080843","https://openalex.org/W4395674510","https://openalex.org/W4399011287","https://openalex.org/W4399160339","https://openalex.org/W6682675615"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W4387369504","https://openalex.org/W3082895349"],"abstract_inverted_index":{"In":[0,153],"this":[1,15,30,180],"paper,":[2],"we":[3],"present":[4],"the":[5,34,44,52,94,97,110,121,126,129,133,155,170,193],"MUSONet":[6],"model,":[7],"which":[8],"leverages":[9],"information":[10],"from":[11],"different":[12,57,85,103],"sources":[13],"(in":[14,179],"case,":[16,181],"wind":[17,23,53,86,185],"farms)":[18],"to":[19,49,175],"perform":[20],"a":[21,189],"multi-step":[22],"speed":[24,54],"prediction.":[25],"The":[26,117],"main":[27],"goal":[28],"of":[29,96,128,172],"approach":[31,124],"is":[32,47],"improving":[33],"global":[35],"prediction":[36,41,58,135],"accuracy,":[37],"specifically":[38],"at":[39,55],"longer":[40,134],"horizons.":[42],"Thus,":[43],"proposed":[45,122,156],"model":[46,183],"able":[48],"simultaneously":[50],"predict":[51],"three":[56,84,102,176],"horizons":[59,136],"(":[60,137],"<mml:math":[61,68,76,138,146,162],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[62,69,77,139,147,163],"display=\"inline\"":[63,70,78,140,148,164],"overflow=\"scroll\">":[64,71,79,141,149,165],"<mml:mn>6</mml:mn>":[65],"</mml:math>":[66,73,81,143,151,169],"h,":[67,74],"<mml:mn>12</mml:mn>":[72,142],"and":[75,115,145,196],"<mml:mn>24</mml:mn>":[80,150],"h),":[82],"across":[83],"farms":[87],"located":[88],"in":[89,109,188],"Spain.":[90],"We":[91],"also":[92],"evaluate":[93],"performance":[95,127],"presented":[98],"methodology":[99],"by":[100,160],"considering":[101],"activation":[104],"functions":[105],"for":[106,132,192],"hidden":[107],"neurons":[108],"neural":[111],"network:":[112],"Sigmoid,":[113],"ReLU,":[114],"ELUs+2L.":[116],"results":[118],"show":[119],"that":[120],"multi-source":[123,157],"improves":[125],"single-source":[130,177],"counterpart":[131],"h":[144],"h).":[152],"addition,":[154],"method":[158],"reduces":[159],"over":[161],"<mml:mn>30</mml:mn>":[166],"<mml:mi":[167],"mathvariant=\"normal\">%</mml:mi>":[168],"number":[171],"parameters":[173],"compared":[174],"models":[178],"one":[182],"per":[184],"farm),":[186],"resulting":[187],"simpler":[190],"solution":[191],"problem":[194],"addressed":[195],"requiring":[197],"much":[198],"lower":[199],"computational":[200],"resources.":[201]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
