{"id":"https://openalex.org/W7160435925","doi":"https://doi.org/10.1109/access.2026.3690955","title":"Cross-Plant Transfer Assessment of Photovoltaic Performance Using Data-Driven Models and a Normalized Technical Factor","display_name":"Cross-Plant Transfer Assessment of Photovoltaic Performance Using Data-Driven Models and a Normalized Technical Factor","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7160435925","doi":"https://doi.org/10.1109/access.2026.3690955"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3690955","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3690955","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.2026.3690955","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003757782","display_name":"andre luis ferreira marques","orcid":"https://orcid.org/0000-0003-4110-9398"},"institutions":[{"id":"https://openalex.org/I4210124394","display_name":"Centro Hospitalar de Lisboa Ocidental","ror":"https://ror.org/036ypft38","country_code":"PT","type":"healthcare","lineage":["https://openalex.org/I4210124394"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Andr\u00c9 Luis Ferreira Marques","raw_affiliation_strings":["Computer Engineering Department, BigData Laboratory (C216), Polytechnic School, University of São Paulo, São Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-4110-9398","affiliations":[{"raw_affiliation_string":"Computer Engineering Department, BigData Laboratory (C216), Polytechnic School, University of São Paulo, São Paulo, Brazil","institution_ids":["https://openalex.org/I4210124394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039058565","display_name":"Ricardo Sbragio","orcid":"https://orcid.org/0000-0003-1394-0504"},"institutions":[{"id":"https://openalex.org/I4210159548","display_name":"Risk Engineering (Bulgaria)","ror":"https://ror.org/051e4zg07","country_code":"BG","type":"company","lineage":["https://openalex.org/I4210159548"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Ricardo Sbragio","raw_affiliation_strings":["Naval Architecture and Ocean Engineering Department, Analysis, Evaluation and Risk Management Laboratory (LabRisco), Polytechnic School, University of São Paulo, São Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Architecture and Ocean Engineering Department, Analysis, Evaluation and Risk Management Laboratory (LabRisco), Polytechnic School, University of São Paulo, São Paulo, Brazil","institution_ids":["https://openalex.org/I4210159548"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078704753","display_name":"Pedro Luiz Pizzigatti Corr\u00eaa","orcid":"https://orcid.org/0000-0002-8743-4244"},"institutions":[{"id":"https://openalex.org/I4210124394","display_name":"Centro Hospitalar de Lisboa Ocidental","ror":"https://ror.org/036ypft38","country_code":"PT","type":"healthcare","lineage":["https://openalex.org/I4210124394"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Pedro Luiz Pizzigatti Corr\u00eaa","raw_affiliation_strings":["Computer Engineering Department, BigData Laboratory (C216), Polytechnic School, University of São Paulo, São Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-8743-4244","affiliations":[{"raw_affiliation_string":"Computer Engineering Department, BigData Laboratory (C216), Polytechnic School, University of São Paulo, São Paulo, Brazil","institution_ids":["https://openalex.org/I4210124394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065766621","display_name":"Marcelo Ramos Martins","orcid":"https://orcid.org/0000-0002-4466-4437"},"institutions":[{"id":"https://openalex.org/I4210159548","display_name":"Risk Engineering (Bulgaria)","ror":"https://ror.org/051e4zg07","country_code":"BG","type":"company","lineage":["https://openalex.org/I4210159548"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Marcelo Ramos Martins","raw_affiliation_strings":["Naval Architecture and Ocean Engineering Department, Analysis, Evaluation and Risk Management Laboratory (LabRisco), Polytechnic School, University of São Paulo, São Paulo, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-4466-4437","affiliations":[{"raw_affiliation_string":"Naval Architecture and Ocean Engineering Department, Analysis, Evaluation and Risk Management Laboratory (LabRisco), Polytechnic School, University of São Paulo, São Paulo, Brazil","institution_ids":["https://openalex.org/I4210159548"]}]}],"institutions":[],"countries_distinct_count":2,"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":0.58991026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"73039","last_page":"73050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.5268999934196472,"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"}},"topics":[{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.5268999934196472,"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"}},{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.11620000004768372,"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/T12838","display_name":"Photovoltaic Systems and Sustainability","score":0.05290000140666962,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.6984999775886536},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.3846000134944916},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.3716999888420105},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.28380000591278076},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.28139999508857727}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.6984999775886536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4747999906539917},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.397599995136261},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.3716999888420105},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.25769999623298645},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.25209999084472656}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3690955","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3690955","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"},{"id":"pmh:oai:doaj.org/article:cfc8ad41784940eca5c682497129a846","is_oa":true,"landing_page_url":"https://doaj.org/article/cfc8ad41784940eca5c682497129a846","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 14, Pp 73039-73050 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3690955","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3690955","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":[{"display_name":"Affordable and clean energy","score":0.4140021800994873,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1323547629","display_name":null,"funder_award_id":"303908/2022-0","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G6096384083","display_name":null,"funder_award_id":"141469/2024-2","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G8647326213","display_name":null,"funder_award_id":"141469/2024-2","funder_id":"https://openalex.org/F4320334753","funder_display_name":"National Council for Forest Research and Development"},{"id":"https://openalex.org/G873118368","display_name":null,"funder_award_id":"303908/2022-0","funder_id":"https://openalex.org/F4320334753","funder_display_name":"National Council for Forest Research and Development"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320334753","display_name":"National Council for Forest Research and Development","ror":"https://ror.org/008gjgb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Assessing":[0],"whether":[1],"data-driven":[2],"photovoltaic":[3],"(PV)":[4],"models":[5,188],"can":[6],"generalize":[7],"beyond":[8,192],"the":[9,120,186,208],"plants":[10,56,115],"used":[11],"for":[12,23,36,145,220],"training":[13,109],"remains":[14],"a":[15,25,33,67,128,168,177,216],"critical":[16],"challenge":[17],"when":[18],"operational":[19,50],"data":[20,51,111],"are":[21,57,123],"available":[22],"only":[24],"limited":[26],"number":[27],"of":[28,202,210],"installations.":[29],"This":[30],"study":[31],"proposes":[32],"methodological":[34],"framework":[35,219],"cross-plant":[37,211],"transfer":[38,157,166],"assessment,":[39],"focusing":[40],"on":[41,110,119,142],"spatial":[42,165,179,193],"generalization":[43,212],"rather":[44],"than":[45],"within-plant":[46],"temporal":[47],"fitting.":[48],"Daily":[49],"from":[52,113],"three":[53],"utility-scale":[54],"PV":[55,77,222],"combined":[58],"with":[59,140],"satellite-derived":[60],"irradiance":[61],"and":[62,80,85,94,100,105,116,138,159,213],"meteorological":[63],"variables":[64],"to":[65,75,82],"construct":[66],"normalized,":[68],"dimensionless":[69],"technical":[70],"performance":[71,162,223],"indicator,":[72],"closely":[73],"related":[74],"established":[76],"normalization":[78],"metrics":[79,143],"designed":[81],"reduce":[83],"scale":[84],"site":[86],"effects.":[87],"Forecasting":[88],"models\u2014including":[89],"decision-tree":[90],"ensembles":[91],"(Random":[92],"Forest":[93],"gradient-boosted":[95],"trees),":[96],"multilayer":[97],"perceptrons":[98],"(MLP),":[99],"convolutional\u2013recurrent":[101],"neural":[102],"networks":[103],"(CNN\u2013LSTM":[104],"CNN\u2013GRU)\u2014are":[106],"evaluated":[107,198],"by":[108],"pooled":[112],"two":[114],"testing":[117],"exclusively":[118],"third.":[121],"Hyperparameters":[122],"optimized":[124],"using":[125,135],"Optuna":[126],"under":[127,164],"unified":[129],"tuning":[130],"strategy.":[131],"Performance":[132],"is":[133],"assessed":[134],"MAE,":[136],"sMAPE,":[137],"RMSE,":[139],"emphasis":[141],"appropriate":[144],"normalized":[146],"targets.":[147],"Results":[148],"show":[149],"that":[150,160,185],"no":[151],"single":[152],"model":[153],"dominates":[154],"across":[155,196],"all":[156,197],"scenarios":[158],"forecasting":[161],"degrades":[163],"in":[167,206,214,225],"plant-dependent":[169],"manner,":[170],"even":[171],"after":[172],"normalization.":[173],"Diebold\u2013Mariano":[174],"tests":[175],"against":[176],"Kriging-based":[178],"baseline":[180],"provide":[181],"strong":[182],"statistical":[183],"evidence":[184],"learning-based":[187],"deliver":[189],"predictive":[190],"power":[191],"smoothness":[194],"alone":[195],"plants.":[199],"The":[200],"contribution":[201],"this":[203],"work":[204],"lies":[205],"quantifying":[207],"limits":[209],"providing":[215],"statistically":[217],"grounded":[218],"comparative":[221],"assessment":[224],"data-scarce":[226],"settings.":[227]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-07T00:00:00"}