{"id":"https://openalex.org/W4412536473","doi":"https://doi.org/10.1109/access.2025.3591040","title":"Transfer Learning for Photovoltaic Power Forecasting Across Regions Using Large-Scale Datasets","display_name":"Transfer Learning for Photovoltaic Power Forecasting Across Regions Using Large-Scale Datasets","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412536473","doi":"https://doi.org/10.1109/access.2025.3591040"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3591040","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3591040","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":null,"license_id":null,"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.2025.3591040","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049816582","display_name":"Seongho Bak","orcid":"https://orcid.org/0000-0001-6032-9279"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongho Bak","raw_affiliation_strings":["Department of AI Convergence, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea","Department of AI Convergence, Gwangju Institute of Science and Technology(GIST), Gwangju, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-6032-9279","affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"Department of AI Convergence, Gwangju Institute of Science and Technology(GIST), Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022252875","display_name":"So-Won Choi","orcid":"https://orcid.org/0000-0002-7687-0534"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sowon Choi","raw_affiliation_strings":["Department of AI Convergence, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea","Department of AI Convergence, Gwangju Institute of Science and Technology(GIST), Gwangju, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"Department of AI Convergence, Gwangju Institute of Science and Technology(GIST), Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044829200","display_name":"Donguk Yang","orcid":"https://orcid.org/0000-0002-4235-3264"},"institutions":[{"id":"https://openalex.org/I198972184","display_name":"Korea Electric Power Corporation (South Korea)","ror":"https://ror.org/04fperw70","country_code":"KR","type":"company","lineage":["https://openalex.org/I198972184"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donguk Yang","raw_affiliation_strings":["New Energy Business Department, Hydrogen Business Team, Korea Electric Power Corporation (KEPCO), Naju, South Korea","New Energy Business Department / Hydrogen Business Team, Korea Electric Power Corporation(KEPCO), Naju, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4235-3264","affiliations":[{"raw_affiliation_string":"New Energy Business Department, Hydrogen Business Team, Korea Electric Power Corporation (KEPCO), Naju, South Korea","institution_ids":["https://openalex.org/I198972184"]},{"raw_affiliation_string":"New Energy Business Department / Hydrogen Business Team, Korea Electric Power Corporation(KEPCO), Naju, South Korea","institution_ids":["https://openalex.org/I198972184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102964634","display_name":"Do Yoon Kim","orcid":"https://orcid.org/0000-0002-9934-5484"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Doyoon Kim","raw_affiliation_strings":["Department of AI Convergence, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea","Department of AI Convergence, Gwangju Institute of Science and Technology(GIST), Gwangju, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"Department of AI Convergence, Gwangju Institute of Science and Technology(GIST), Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051969659","display_name":"Heeseon Rho","orcid":null},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heeseon Rho","raw_affiliation_strings":["Department of AI Convergence, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea","Department of AI Convergence, Gwangju Institute of Science and Technology(GIST), Gwangju, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"Department of AI Convergence, Gwangju Institute of Science and Technology(GIST), Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031483606","display_name":"Kyoobin Lee","orcid":"https://orcid.org/0000-0003-4299-4923"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoobin Lee","raw_affiliation_strings":["Department of AI Convergence, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea","Department of AI Convergence, Gwangju Institute of Science and Technology(GIST), Gwangju, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4299-4923","affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]},{"raw_affiliation_string":"Department of AI Convergence, Gwangju Institute of Science and Technology(GIST), Gwangju, South Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":4.7687,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95880125,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"13","issue":null,"first_page":"136175","last_page":"136190"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9835000038146973,"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":0.9835000038146973,"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":0.9708999991416931,"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":0.9672999978065491,"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/photovoltaic-system","display_name":"Photovoltaic system","score":0.7035890221595764},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6355231404304504},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6041845679283142},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5431562662124634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3584800362586975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3538748621940613},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13636088371276855},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10028669238090515},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07487854361534119}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.7035890221595764},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6355231404304504},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6041845679283142},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5431562662124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3584800362586975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3538748621940613},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13636088371276855},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10028669238090515},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07487854361534119},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3591040","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3591040","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:78151015332f486fa1fff604bafaee29","is_oa":true,"landing_page_url":"https://doaj.org/article/78151015332f486fa1fff604bafaee29","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 136175-136190 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3591040","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3591040","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.6200000047683716,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2030001474","https://openalex.org/W2064675550","https://openalex.org/W2130231269","https://openalex.org/W2328726582","https://openalex.org/W2587586954","https://openalex.org/W2751698537","https://openalex.org/W2760948241","https://openalex.org/W2894480095","https://openalex.org/W2898962279","https://openalex.org/W2970006106","https://openalex.org/W2977155375","https://openalex.org/W3134592248","https://openalex.org/W4206764666","https://openalex.org/W4224220763","https://openalex.org/W4226458217","https://openalex.org/W4293318869","https://openalex.org/W4321371496","https://openalex.org/W4327949239","https://openalex.org/W4377141099","https://openalex.org/W4382203079","https://openalex.org/W4385245566","https://openalex.org/W4387879092","https://openalex.org/W4392337594","https://openalex.org/W4394874923","https://openalex.org/W4397027706","https://openalex.org/W4400111503","https://openalex.org/W4405179260","https://openalex.org/W4407103720","https://openalex.org/W4409168143","https://openalex.org/W4410124640","https://openalex.org/W6681366080","https://openalex.org/W6685535897","https://openalex.org/W6737881117","https://openalex.org/W6755977528","https://openalex.org/W6773887922","https://openalex.org/W6797155008","https://openalex.org/W6846825190","https://openalex.org/W6861928242","https://openalex.org/W6868320316"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Accurate":[0],"photovoltaic":[1],"(PV)":[2],"power":[3,53],"forecasting":[4,41,54,191],"enables":[5],"stable":[6],"grid":[7],"operation;":[8],"however,":[9],"acquiring":[10],"sufficient":[11],"and":[12,92,177],"diverse":[13],"data":[14,31,62,73,213],"remains":[15],"challenging.":[16],"Although":[17],"numerous":[18],"deep":[19],"learning":[20,49,117],"models":[21,136],"have":[22],"been":[23],"employed,":[24],"most":[25,163],"rely":[26],"on":[27,94,104,139,180,223],"proprietary":[28],"datasets":[29,101,179,186],"or":[30,214],"spanning":[32],"only":[33],"a":[34,46,56,65,80,148,196],"few":[35,149],"years,":[36],"limiting":[37],"the":[38,84,95,114,125,140,155,173],"generalizability":[39],"of":[40,86,175],"applications.":[42],"This":[43,170],"study":[44,171],"proposes":[45],"cross-continental":[47,200],"transfer":[48,116,202],"framework":[50],"for":[51,167,199],"PV":[52],"using":[55],"large-scale":[57],"dataset":[58,68,97,157],"with":[59,69,107,135,210],"4.5":[60],"million":[61,72],"points,":[63],"including":[64],"source":[66,176,219],"domain":[67],"over":[70],"3.5":[71],"points.":[74],"The":[75,99,218],"prediction":[76,121,181],"model,":[77],"which":[78],"is":[79,152,158,165,221],"transformer-based":[81],"approach,":[82],"compares":[83],"results":[85],"zero-shot":[87],"learning,":[88],"linear":[89],"probing,":[90],"fine-tuning,":[91],"training":[93],"target":[96,100,141,156,178],"alone.":[98],"are":[102],"located":[103],"different":[105,108],"continents":[106],"meteorological":[109],"characteristics.":[110],"Results":[111],"demonstrate":[112],"that":[113,146,184],"proposed":[115],"approach":[118,198],"significantly":[119],"improves":[120],"accuracy.":[122,192],"It":[123],"reduces":[124],"mean":[126],"absolute":[127],"percentage":[128],"error":[129],"by":[130],"up":[131],"to":[132],"38.8%":[133],"compared":[134],"trained":[137],"solely":[138],"data.":[142],"Further":[143],"analysis":[144],"reveals":[145],"freezing":[147,162],"transformer":[150],"blocks":[151],"beneficial":[153],"when":[154],"sufficiently":[159],"large,":[160],"whereas":[161],"layers":[164],"effective":[166],"smaller":[168],"datasets.":[169],"analyzes":[172],"impact":[174],"performance,":[182],"demonstrating":[183],"larger":[185],"in":[187,203],"both":[188],"domains":[189],"enhance":[190],"These":[193],"findings":[194],"offer":[195],"robust":[197],"knowledge":[201],"renewable":[204],"energy":[205],"forecasting,":[206],"particularly":[207],"benefiting":[208],"regions":[209],"limited":[211],"historical":[212],"newly":[215],"installed":[216],"systems.":[217],"code":[220],"available":[222],"https://github.com/gist-ailab/transfer-learning-PV-forecasting.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":5}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}