{"id":"https://openalex.org/W4302290904","doi":"https://doi.org/10.1007/s10489-022-04175-y","title":"A combination of supervised dimensionality reduction and learning methods to forecast solar radiation","display_name":"A combination of supervised dimensionality reduction and learning methods to forecast solar radiation","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4302290904","doi":"https://doi.org/10.1007/s10489-022-04175-y"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-04175-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-04175-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04175-y.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04175-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038248719","display_name":"Esteban Garc\u00eda-Cuesta","orcid":"https://orcid.org/0000-0002-1215-3333"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Esteban Garc\u00eda-Cuesta","raw_affiliation_strings":["Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid, E.T.S.I.I Campus de Montegancedo s/n, Boadilla del Monte, 28660, Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-1215-3333","affiliations":[{"raw_affiliation_string":"Departamento de Inteligencia Artificial, Universidad Polit\u00e9cnica de Madrid, E.T.S.I.I Campus de Montegancedo s/n, Boadilla del Monte, 28660, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005335460","display_name":"Ricardo Aler","orcid":"https://orcid.org/0000-0002-7472-4840"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ricardo Aler","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Av. de la Universidad, 30, Legan\u00e9s, 28911, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Av. de la Universidad, 30, Legan\u00e9s, 28911, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028813797","display_name":"David Pozo\u2010V\u00e1zquez","orcid":"https://orcid.org/0000-0002-1135-4926"},"institutions":[{"id":"https://openalex.org/I191420491","display_name":"Universidad de Ja\u00e9n","ror":"https://ror.org/0122p5f64","country_code":"ES","type":"education","lineage":["https://openalex.org/I191420491"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"David del P\u00f3zo-V\u00e1zquez","raw_affiliation_strings":["Departamento de F\u00edsica, Universidad de Jaen, Campus Las Lagunillas, s/n, Jaen, 23071, Jaen, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de F\u00edsica, Universidad de Jaen, Campus Las Lagunillas, s/n, Jaen, 23071, Jaen, Spain","institution_ids":["https://openalex.org/I191420491"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085565913","display_name":"In\u00e9s M. Galv\u00e1n","orcid":"https://orcid.org/0000-0002-8490-7296"},"institutions":[{"id":"https://openalex.org/I50357001","display_name":"Universidad Carlos III de Madrid","ror":"https://ror.org/03ths8210","country_code":"ES","type":"education","lineage":["https://openalex.org/I50357001"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"In\u00e9s M. Galv\u00e1n","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Av. de la Universidad, 30, Legan\u00e9s, 28911, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidad Carlos III de Madrid, Av. de la Universidad, 30, Legan\u00e9s, 28911, Madrid, Spain","institution_ids":["https://openalex.org/I50357001"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038248719"],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":2.09,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88604465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"53","issue":"11","first_page":"13053","last_page":"13066"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9943000078201294,"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9700999855995178,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.7556265592575073},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7375199794769287},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7000387907028198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6551884412765503},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5610259771347046},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5042287111282349},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4925154149532318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4744766056537628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43180131912231445},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.08017948269844055}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.7556265592575073},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7375199794769287},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7000387907028198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6551884412765503},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5610259771347046},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5042287111282349},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4925154149532318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4744766056537628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43180131912231445},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.08017948269844055},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10489-022-04175-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-04175-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04175-y.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Applied Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:e-archivo.uc3m.es:10016/35905","is_oa":true,"landing_page_url":"http://hdl.handle.net/10016/35905","pdf_url":null,"source":{"id":"https://openalex.org/S4306400817","display_name":"e-Archivo (Carlos III University of Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I50357001","host_organization_name":"Universidad Carlos III de Madrid","host_organization_lineage":["https://openalex.org/I50357001"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"research article"}],"best_oa_location":{"id":"doi:10.1007/s10489-022-04175-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-022-04175-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-022-04175-y.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1175115578","display_name":null,"funder_award_id":"AEI//10.13039/501100011033/","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G300979063","display_name":null,"funder_award_id":"10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3195727849","display_name":null,"funder_award_id":"PID2019-107455RB-C22/AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G425668148","display_name":null,"funder_award_id":".13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G5080475149","display_name":null,"funder_award_id":"10.13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8684520763","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320313831","display_name":"Comunidad de Madrid","ror":null},{"id":"https://openalex.org/F4320322138","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4302290904.pdf","grobid_xml":"https://content.openalex.org/works/W4302290904.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W1743187317","https://openalex.org/W2001141328","https://openalex.org/W2012936076","https://openalex.org/W2017588182","https://openalex.org/W2053186076","https://openalex.org/W2053565514","https://openalex.org/W2070493638","https://openalex.org/W2071128523","https://openalex.org/W2097308346","https://openalex.org/W2219210481","https://openalex.org/W2528183757","https://openalex.org/W2607339923","https://openalex.org/W2612859542","https://openalex.org/W2613117632","https://openalex.org/W2729256190","https://openalex.org/W2736981401","https://openalex.org/W2765572054","https://openalex.org/W2770982579","https://openalex.org/W2773629498","https://openalex.org/W2781647960","https://openalex.org/W2782547374","https://openalex.org/W2782945673","https://openalex.org/W2790397535","https://openalex.org/W2792921542","https://openalex.org/W2799581641","https://openalex.org/W2801924406","https://openalex.org/W2804124053","https://openalex.org/W2810535514","https://openalex.org/W2889326414","https://openalex.org/W2909791909","https://openalex.org/W2914860328","https://openalex.org/W2941912517","https://openalex.org/W2944487131","https://openalex.org/W2951718257","https://openalex.org/W2963267245","https://openalex.org/W2982127094","https://openalex.org/W2990110506","https://openalex.org/W3000604112","https://openalex.org/W3002879843","https://openalex.org/W3009377873","https://openalex.org/W3134592248","https://openalex.org/W3163510368","https://openalex.org/W4220726206","https://openalex.org/W4220864797","https://openalex.org/W4220887363","https://openalex.org/W4224291524","https://openalex.org/W6969270922"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2114217318","https://openalex.org/W2037504162","https://openalex.org/W2794812819","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W2587881214","https://openalex.org/W1568451138","https://openalex.org/W4294224199"],"abstract_inverted_index":{"Abstract":[0],"Machine":[1],"learning":[2],"is":[3,39,53,88,122,272,280],"routinely":[4],"used":[5],"to":[6,62,114,145,157,282],"forecast":[7],"solar":[8],"radiation":[9,202,219],"from":[10,36,259],"inputs,":[11],"which":[12],"are":[13,47],"forecasts":[14],"of":[15,33,55,120,127,218,286],"meteorological":[16],"variables":[17],"provided":[18],"by":[19,163],"numerical":[20],"weather":[21],"prediction":[22],"(NWP)":[23],"models,":[24],"on":[25,192],"a":[26,81,165,173,261],"spatially":[27],"distributed":[28],"grid.":[29],"However,":[30],"the":[31,56,97,102,118,125,139,147,224],"number":[32,119,126],"features":[34,64,121],"resulting":[35],"these":[37,160],"grids":[38],"usually":[40],"large,":[41],"especially":[42],"if":[43],"several":[44],"vertical":[45],"levels":[46],"included.":[48],"Principal":[49],"Components":[50],"Analysis":[51,112],"(PCA)":[52],"one":[54],"simplest":[57],"and":[58,65,85,100,180,187,197,210,221,223,236,243,256,276],"most":[59],"widely-used":[60],"methods":[61],"extract":[63],"reduce":[66],"dimensionality":[67,181],"in":[68,267],"renewable":[69],"energy":[70],"forecasting,":[71],"although":[72,253],"this":[73,136,153,268,270],"method":[74,107,176,264],"has":[75,108,248],"some":[76],"limitations.":[77],"First,":[78],"it":[79,87],"performs":[80],"global":[82],"linear":[83],"analysis,":[84],"second":[86],"an":[89],"unsupervised":[90],"method.":[91],"Locality":[92],"Preserving":[93,170],"Projection":[94],"(LPP)":[95],"overcomes":[96],"locality":[98],"problem,":[99],"recently":[101],"Linear":[103,110],"Optimal":[104],"Low-Rank":[105],"(LOL)":[106],"extended":[109],"Discriminant":[111],"(LDA)":[113],"be":[115],"applicable":[116],"when":[117],"larger":[123,273],"than":[124,232],"samples.":[128],"Supervised":[129,166],"Nonnegative":[130,140],"Matrix":[131,141],"Factorization":[132,142],"(SNMF)":[133],"also":[134,249],"achieves":[135],"goal":[137],"extending":[138],"(NMF)":[143],"framework":[144],"integrate":[146],"logistic":[148],"regression":[149,263],"loss":[150],"function.":[151],"In":[152],"article":[154],"we":[155],"try":[156],"overcome":[158],"all":[159],"issues":[161],"together":[162],"proposing":[164],"Local":[167],"Maximum":[168],"Variance":[169],"(SLMVP)":[171],"method,":[172],"supervised":[174],"non-linear":[175,262,284],"for":[177,215,241,245,274],"feature":[178],"extraction":[179],"reduction.":[182],"PCA,":[183,233,255],"LPP,":[184,234],"LOL,":[185,235],"SNMF":[186],"SLMVP":[188,227],"have":[189],"been":[190,250],"compared":[191],"Global":[193],"Horizontal":[194],"Irradiance":[195,200],"(GHI)":[196],"Direct":[198],"Normal":[199],"(DNI)":[201],"data":[203],"at":[204],"two":[205,225],"different":[206],"Iberian":[207],"locations:":[208],"Seville":[209,242],"Lisbon.":[211,246],"Results":[212],"show":[213],"that":[214],"both":[216],"kinds":[217],"(GHI":[220],"DNI)":[222],"locations,":[226],"produces":[228],"smaller":[229],"MAE":[230],"errors":[231],"SNMF,":[237],"around":[238],"4.92%":[239],"better":[240],"3.12%":[244],"It":[247],"shown":[251],"that,":[252],"SLMVP,":[254],"LPP":[257,277],"benefit":[258,271],"using":[260],"(Gradient":[265],"Boosting":[266],"work),":[269],"PCA":[275],"because":[278],"SMLVP":[279],"able":[281],"perform":[283],"transformations":[285],"inputs.":[287]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6}],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2025-10-10T00:00:00"}