{"id":"https://openalex.org/W4414270214","doi":"https://doi.org/10.1109/access.2025.3611168","title":"A Novel Multi-Scale Feature Attention Network-Based Prediction Model for the Accurate Forecasting of Photovoltaic Power Generation","display_name":"A Novel Multi-Scale Feature Attention Network-Based Prediction Model for the Accurate Forecasting of Photovoltaic Power Generation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414270214","doi":"https://doi.org/10.1109/access.2025.3611168"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3611168","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3611168","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.2025.3611168","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098732444","display_name":"Faezeh Amirteimoury","orcid":"https://orcid.org/0009-0000-1867-4642"},"institutions":[{"id":"https://openalex.org/I4210152146","display_name":"Islamic Azad University Kerman","ror":"https://ror.org/04ywz9252","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210152146"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Faezeh Amirteimoury","raw_affiliation_strings":["Department of Computer Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran"],"raw_orcid":"https://orcid.org/0009-0000-1867-4642","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran","institution_ids":["https://openalex.org/I4210152146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081393323","display_name":"Gholamreza Memarzadeh","orcid":"https://orcid.org/0000-0002-2347-0721"},"institutions":[{"id":"https://openalex.org/I3020488725","display_name":"Vali Asr University of Rafsanjan","ror":"https://ror.org/056xnk046","country_code":"IR","type":"education","lineage":["https://openalex.org/I3020488725"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Gholamreza Memarzadeh","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran"],"raw_orcid":"https://orcid.org/0000-0002-2347-0721","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran","institution_ids":["https://openalex.org/I3020488725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001391649","display_name":"Hossein Noori","orcid":"https://orcid.org/0000-0001-5820-5613"},"institutions":[{"id":"https://openalex.org/I3020488725","display_name":"Vali Asr University of Rafsanjan","ror":"https://ror.org/056xnk046","country_code":"IR","type":"education","lineage":["https://openalex.org/I3020488725"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hossein Noori","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran"],"raw_orcid":"https://orcid.org/0000-0001-5820-5613","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran","institution_ids":["https://openalex.org/I3020488725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070213603","display_name":"Farshid Keynia","orcid":"https://orcid.org/0000-0002-9027-7315"},"institutions":[{"id":"https://openalex.org/I183263030","display_name":"Graduate University of Advanced Technology","ror":"https://ror.org/0451xdy64","country_code":"IR","type":"education","lineage":["https://openalex.org/I183263030"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Farshid Keynia","raw_affiliation_strings":["Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran","institution_ids":["https://openalex.org/I183263030"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061444286","display_name":"Azim Heydari","orcid":"https://orcid.org/0000-0003-1352-3209"},"institutions":[{"id":"https://openalex.org/I183263030","display_name":"Graduate University of Advanced Technology","ror":"https://ror.org/0451xdy64","country_code":"IR","type":"education","lineage":["https://openalex.org/I183263030"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Azim Heydari","raw_affiliation_strings":["Department of Energy, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran"],"raw_orcid":"https://orcid.org/0000-0003-1352-3209","affiliations":[{"raw_affiliation_string":"Department of Energy, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran","institution_ids":["https://openalex.org/I183263030"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075411245","display_name":"Afef Fekih","orcid":"https://orcid.org/0000-0003-4522-502X"},"institutions":[{"id":"https://openalex.org/I79516672","display_name":"University of Louisiana at Lafayette","ror":"https://ror.org/01x8rc503","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I79516672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Afef Fekih","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, Lafayette, LA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4522-502X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Louisiana at Lafayette, Lafayette, LA, USA","institution_ids":["https://openalex.org/I79516672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"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":0.5352,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70710826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"165173","last_page":"165188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9514999985694885,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9514999985694885,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9398000240325928,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14042","display_name":"Technology and Security Systems","score":0.9143999814987183,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7748000025749207},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6283000111579895},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.5885000228881836},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4966000020503998},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4921000003814697},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.47209998965263367},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4699999988079071},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45980000495910645},{"id":"https://openalex.org/keywords/electricity-generation","display_name":"Electricity generation","score":0.4593999981880188},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.38440001010894775}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.7748000025749207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699400007724762},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6283000111579895},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.5885000228881836},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4966000020503998},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4921000003814697},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4699999988079071},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45980000495910645},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.4593999981880188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4124000072479248},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.38440001010894775},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.36169999837875366},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.33889999985694885},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3093999922275543},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C2777618391","wikidata":"https://www.wikidata.org/wiki/Q1483757","display_name":"Solar power","level":3,"score":0.3057999908924103},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2890999913215637},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C116615679","wikidata":"https://www.wikidata.org/wiki/Q6795908","display_name":"Maximum power principle","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C544738498","wikidata":"https://www.wikidata.org/wiki/Q861135","display_name":"Distributed generation","level":3,"score":0.2630000114440918},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2628999948501587}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3611168","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3611168","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:ae8082a0f7974040853d4e7b2d314813","is_oa":true,"landing_page_url":"https://doaj.org/article/ae8082a0f7974040853d4e7b2d314813","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 165173-165188 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3611168","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3611168","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2094256195","https://openalex.org/W2173259274","https://openalex.org/W2801973365","https://openalex.org/W2912157889","https://openalex.org/W2950072808","https://openalex.org/W3034070754","https://openalex.org/W3083590190","https://openalex.org/W3184965179","https://openalex.org/W3193497775","https://openalex.org/W4379047011","https://openalex.org/W4387865028","https://openalex.org/W4391547664","https://openalex.org/W4392179219","https://openalex.org/W4392506792","https://openalex.org/W4394894628","https://openalex.org/W4394990154","https://openalex.org/W4396544590","https://openalex.org/W4398206697","https://openalex.org/W4399107236","https://openalex.org/W4401449639","https://openalex.org/W4401546931","https://openalex.org/W4401560371","https://openalex.org/W4401668014","https://openalex.org/W4402737928","https://openalex.org/W4402923299","https://openalex.org/W4404185681"],"related_works":[],"abstract_inverted_index":{"The":[0,72,95,114],"global":[1],"rise":[2],"in":[3,111],"energy":[4,29],"demand":[5],"has":[6],"driven":[7],"the":[8,16,20,46,87,107,118,119,161,164,170],"large-scale":[9],"integration":[10],"of":[11,137,143,150,155,158,163],"photovoltaic":[12],"(PV)":[13],"systems":[14],"into":[15],"power":[17,40,103,109,184],"grids,":[18],"increasing":[19],"need":[21],"for":[22],"accurate":[23],"forecasting":[24,176],"models":[25],"to":[26,68,85,173],"manage":[27],"solar":[28],"variability":[30],"and":[31,60,127,152,178,182],"uncertainty.":[32],"This":[33],"study":[34],"proposes":[35],"a":[36,65,76,132,153],"novel":[37],"24-hour-ahead":[38],"PV":[39,102,175],"generation":[41,104],"prediction":[42,70],"model":[43,73,97,120],"based":[44],"on":[45],"Multi-Scale":[47],"Feature":[48],"Attention":[49],"Network":[50],"(MSFAN),":[51],"which":[52],"integrates":[53],"convolutional":[54],"neural":[55],"networks":[56],"(CNNs),":[57],"attention":[58],"mechanisms,":[59],"gated":[61],"recurrent":[62],"units":[63],"within":[64],"non-sequential":[66],"architecture":[67],"enhance":[69],"accuracy.":[71],"also":[74],"incorporates":[75],"two-step":[77],"feature":[78],"selection":[79],"technique,":[80],"Mutual":[81],"Information-Interaction":[82],"Gain":[83],"(MI-IG),":[84],"extract":[86],"most":[88],"relevant":[89],"input":[90],"features":[91],"whilst":[92],"minimizing":[93],"redundancies.":[94],"proposed":[96],"was":[98],"validated":[99],"using":[100],"real-world":[101],"data":[105],"from":[106],"Arvand":[108],"plant":[110],"Mahan,":[112],"Iran.":[113],"results":[115,168],"indicate":[116],"that":[117],"outperformed":[121],"traditional":[122],"methods,":[123],"including":[124],"LSTM,":[125],"MLP,":[126],"Elman":[128],"networks.":[129],"It":[130],"achieved":[131],"mean":[133,139,145],"squared":[134],"error":[135,141,148],"(MSE)":[136],"0.001,":[138],"absolute":[140,146],"(MAE)":[142],"0.02,":[144],"percentage":[147],"(MAPE)":[149],"2.5%,":[151],"coefficient":[154],"determination":[156],"(R\u00b2)":[157],"0.991\u2014substantially":[159],"surpassing":[160],"performance":[162],"comparison":[165],"models.":[166],"These":[167],"underscore":[169],"model's":[171],"potential":[172],"improve":[174],"accuracy":[177],"support":[179],"more":[180],"stable":[181],"efficient":[183],"grid":[185],"operations.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
