{"id":"https://openalex.org/W4408285250","doi":"https://doi.org/10.1007/s43926-025-00112-w","title":"FTLNet: federated deep learning model for multi-horizon wind power forecasting","display_name":"FTLNet: federated deep learning model for multi-horizon wind power forecasting","publication_year":2025,"publication_date":"2025-03-10","ids":{"openalex":"https://openalex.org/W4408285250","doi":"https://doi.org/10.1007/s43926-025-00112-w"},"language":"en","primary_location":{"id":"doi:10.1007/s43926-025-00112-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-025-00112-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s43926-025-00112-w.pdf","source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"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":"Discover Internet of Things","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s43926-025-00112-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085234563","display_name":"Majad Mansoor","orcid":"https://orcid.org/0000-0002-8951-7940"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Majad Mansoor","raw_affiliation_strings":["Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen, 518000, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen, 518000, Guangdong, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088814076","display_name":"Tao Gong","orcid":"https://orcid.org/0000-0003-0248-9404"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gong Tao","raw_affiliation_strings":["Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen, 518000, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen, 518000, Guangdong, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034544995","display_name":"Adeel Feroz Mirza","orcid":"https://orcid.org/0000-0001-5194-3170"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Adeel Feroz Mirza","raw_affiliation_strings":["Dept. of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026803641","display_name":"Balal Yousaf","orcid":"https://orcid.org/0000-0003-2732-2176"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Balal Yousaf","raw_affiliation_strings":["Department of Technologies and Installations for Waste Management, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Technologies and Installations for Waste Management, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108155399","display_name":"Muhammad Irfan","orcid":"https://orcid.org/0000-0001-6716-6695"},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muhammad Irfan","raw_affiliation_strings":["Electrical Engineering Department, The City College of New York, New York, NY, 10031, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, The City College of New York, New York, NY, 10031, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344582","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0003-3720-718X"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen, 518000, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University, Shenzhen, 518000, Guangdong, China","institution_ids":["https://openalex.org/I182722699"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085234563"],"corresponding_institution_ids":["https://openalex.org/I182722699"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":4.6626,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.94447669,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9822999835014343,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9693999886512756,"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/horizon","display_name":"Horizon","score":0.7037059664726257},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.546215295791626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5204320549964905},{"id":"https://openalex.org/keywords/wind-power-forecasting","display_name":"Wind power forecasting","score":0.5060762763023376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48932144045829773},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4329107403755188},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.43229368329048157},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3616315722465515},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.19146183133125305},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17443925142288208},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1621294617652893},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12980419397354126},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07892748713493347}],"concepts":[{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.7037059664726257},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.546215295791626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5204320549964905},{"id":"https://openalex.org/C2781084341","wikidata":"https://www.wikidata.org/wiki/Q2583670","display_name":"Wind power forecasting","level":4,"score":0.5060762763023376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48932144045829773},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4329107403755188},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.43229368329048157},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3616315722465515},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.19146183133125305},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17443925142288208},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1621294617652893},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12980419397354126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07892748713493347},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s43926-025-00112-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-025-00112-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s43926-025-00112-w.pdf","source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"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":"Discover Internet of Things","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9645efe4406045a498e7ca31c4375694","is_oa":true,"landing_page_url":"https://doaj.org/article/9645efe4406045a498e7ca31c4375694","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Internet of Things, Vol 5, Iss 1, Pp 1-24 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s43926-025-00112-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43926-025-00112-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s43926-025-00112-w.pdf","source":{"id":"https://openalex.org/S4210230675","display_name":"Discover Internet of Things","issn_l":"2730-7239","issn":["2730-7239"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"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":"Discover Internet of Things","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408285250.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2792046648","https://openalex.org/W2964248263","https://openalex.org/W2975975302","https://openalex.org/W2991081473","https://openalex.org/W3016208458","https://openalex.org/W3025191502","https://openalex.org/W3033993664","https://openalex.org/W3048002811","https://openalex.org/W3102767088","https://openalex.org/W3110772809","https://openalex.org/W4226345300","https://openalex.org/W4285584014","https://openalex.org/W4286489440","https://openalex.org/W4289528755","https://openalex.org/W4293318869","https://openalex.org/W4304183752","https://openalex.org/W4307903459","https://openalex.org/W4317940693","https://openalex.org/W4319319403","https://openalex.org/W4319341382","https://openalex.org/W4323921603","https://openalex.org/W4362672422","https://openalex.org/W4364375171","https://openalex.org/W4365453384","https://openalex.org/W4385614878","https://openalex.org/W4386154986","https://openalex.org/W4387004265","https://openalex.org/W4387208230","https://openalex.org/W4387962327","https://openalex.org/W4388538849","https://openalex.org/W4388550577","https://openalex.org/W4389066669","https://openalex.org/W4390106432","https://openalex.org/W4390512291","https://openalex.org/W4390615789","https://openalex.org/W4391230292","https://openalex.org/W4393120165","https://openalex.org/W4399703808","https://openalex.org/W4402242178"],"related_works":["https://openalex.org/W2034182965","https://openalex.org/W2626641865","https://openalex.org/W2246158493","https://openalex.org/W2102851390","https://openalex.org/W2946066052","https://openalex.org/W4200305155","https://openalex.org/W2142241280","https://openalex.org/W1963538988","https://openalex.org/W4200518045","https://openalex.org/W3157443038"],"abstract_inverted_index":{"In":[0],"the":[1,62,70,86,106,171,178,206,218,233,236],"competitive":[2,63,115,209],"market":[3],"of":[4,73,81,89,109,136,142,149,153,158,164,180,211,220,238],"wind":[5,64,212],"power":[6,65,93,213,249],"forecasting,":[7],"ensuring":[8],"data":[9,32,98,239],"security":[10,35,240],"while":[11],"enhancing":[12],"forecasting":[13],"accuracy":[14,247],"is":[15],"crucial.":[16],"Federated":[17,47],"learning":[18,112,186,228,243],"emerges":[19],"as":[20,130,201],"a":[21,28,42,78,114,131,151,161,202],"key":[22],"solution":[23],"to":[24,30,189],"these":[25],"challenges,":[26],"offering":[27],"way":[29],"preserve":[31],"privacy":[33],"and":[34,91,160,208,241],"across":[36],"multiple":[37],"entities.":[38],"This":[39,215],"paper":[40],"presents":[41],"groundbreaking":[43],"approach":[44,204],"that":[45],"leverages":[46],"Transfer":[48],"Learning":[49],"(FTL)":[50],"in":[51,113,184,205,232,244,248],"conjunction":[52],"with":[53,77,127,226],"Additive":[54],"Attention":[55],"Temporal":[56],"Neural":[57],"Network":[58],"architectures,":[59],"focusing":[60],"on":[61],"forecasting.":[66,94,214,250],"Our":[67],"method":[68],"integrates":[69],"sophisticated":[71],"capabilities":[72],"Gated":[74],"Residual":[75],"Networks":[76],"strategic":[79],"process":[80],"feature":[82,182,197],"selection,":[83,198],"tailored":[84],"for":[85,229],"unique":[87],"demands":[88],"secure":[90,207],"efficient":[92],"Through":[95],"experiments":[96],"involving":[97],"from":[99],"various":[100],"geographical":[101],"regions,":[102],"this":[103],"research":[104,216],"uncovers":[105],"specific":[107],"challenges":[108],"applying":[110],"federated":[111,185,227],"landscape.":[116],"The":[117],"resulting":[118],"FTL-Net":[119,172],"model":[120],"demonstrates":[121],"exceptional":[122],"performance,":[123,194],"surpassing":[124],"existing":[125],"benchmarks":[126],"metrics":[128],"such":[129],"Mean":[132,138,145],"Absolute":[133],"Error":[134,140,147],"(MAE)":[135],"6.011,":[137],"Squared":[139,146],"(MSE)":[141],"13,855.45,":[143],"Root":[144],"(RMSE)":[148],"11.7,":[150],"coefficient":[152,163],"determination":[154],"(":[155],"$${R}^{2}$$":[156],")":[157],"0.9899,":[159],"correlation":[162],"0.998.":[165],"These":[166],"results":[167],"not":[168],"only":[169],"confirm":[170],"model's":[173],"efficacy":[174],"but":[175],"also":[176],"emphasize":[177],"significance":[179],"meticulous":[181],"selection":[183],"contexts.":[187],"Compared":[188],"other":[190],"models,":[191],"FTL-Net's":[192],"superior":[193],"bolstered":[195],"by":[196],"establishes":[199],"it":[200],"leading":[203],"realm":[210],"underscores":[217],"potential":[219],"combining":[221],"advanced":[222],"neural":[223],"network":[224],"architectures":[225],"future":[230],"advancements":[231],"field,":[234],"highlighting":[235],"importance":[237],"collaborative":[242],"achieving":[245],"high":[246]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
