{"id":"https://openalex.org/W3011903352","doi":"https://doi.org/10.1109/access.2020.2981819","title":"Feature-Selective Ensemble Learning-Based Long-Term Regional PV Generation Forecasting","display_name":"Feature-Selective Ensemble Learning-Based Long-Term Regional PV Generation Forecasting","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3011903352","doi":"https://doi.org/10.1109/access.2020.2981819","mag":"3011903352"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2981819","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2981819","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09040551.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8948470/09040551.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080334052","display_name":"Haneul Eom","orcid":"https://orcid.org/0000-0003-1701-6490"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Haneul Eom","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1701-6490","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075878102","display_name":"Yongju Son","orcid":"https://orcid.org/0000-0003-3585-7576"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yongju Son","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-3585-7576","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101422461","display_name":"Sungyun Choi","orcid":"https://orcid.org/0000-0001-8802-2535"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungyun Choi","raw_affiliation_strings":["School of Electrical Engineering, Korea University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8802-2535","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Korea University, Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080334052"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.4326,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.93077054,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"54620","last_page":"54630"},"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9998000264167786,"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/T10424","display_name":"Electric Power System Optimization","score":0.9916999936103821,"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/term","display_name":"Term (time)","score":0.7140969634056091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6789668798446655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5097827315330505},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47384077310562134},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40201377868652344}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7140969634056091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6789668798446655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5097827315330505},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47384077310562134},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40201377868652344},{"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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2981819","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2981819","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09040551.pdf","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:74587e1870e74a8e82e7bf0b95c644bb","is_oa":true,"landing_page_url":"https://doaj.org/article/74587e1870e74a8e82e7bf0b95c644bb","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 8, Pp 54620-54630 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2981819","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2981819","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09040551.pdf","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":[{"id":"https://metadata.un.org/sdg/7","score":0.4099999964237213,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4512997847","display_name":null,"funder_award_id":"2019R1F1A1064164","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321373","display_name":"Korea University","ror":"https://ror.org/047dqcg40"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3011903352.pdf","grobid_xml":"https://content.openalex.org/works/W3011903352.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W86087727","https://openalex.org/W796600105","https://openalex.org/W1612034064","https://openalex.org/W2010203241","https://openalex.org/W2019495121","https://openalex.org/W2039535513","https://openalex.org/W2061317708","https://openalex.org/W2061973578","https://openalex.org/W2064675550","https://openalex.org/W2126709108","https://openalex.org/W2150928659","https://openalex.org/W2173259274","https://openalex.org/W2293918375","https://openalex.org/W2407858842","https://openalex.org/W2587586954","https://openalex.org/W2755876968","https://openalex.org/W2786778708","https://openalex.org/W2810196477","https://openalex.org/W2921835983","https://openalex.org/W2949062675","https://openalex.org/W2980189150","https://openalex.org/W4255251875","https://openalex.org/W6603508688","https://openalex.org/W6622935348"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","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":{"Because":[0],"of":[1,14],"Korea's":[2],"rapid":[3],"expansion":[4],"in":[5],"photovoltaic":[6],"(PV)":[7],"generation,":[8],"forecasting":[9,33],"long-term":[10,31,76],"PV":[11,32,57,77],"generation":[12,79],"is":[13,63],"prime":[15],"importance":[16],"for":[17,99],"utilities":[18],"to":[19,65,127,130],"establish":[20],"transmission":[21],"and":[22,40,68,91,106,125,162],"distribution":[23],"planning.":[24],"However,":[25],"most":[26,41],"previous":[27],"studies":[28],"focused":[29,46],"on":[30,37,47,82,116,169],"have":[34,45],"been":[35],"based":[36,81,115,168],"parametric":[38],"methodologies,":[39],"machine":[42,88],"learning-based":[43],"approaches":[44],"short-term":[48],"forecasting.":[49],"In":[50,70],"addition,":[51],"many":[52],"factors":[53],"can":[54,137],"affect":[55],"local":[56],"production,":[58],"but":[59],"proper":[60],"feature":[61,101,117,149],"selection":[62,102,150],"needed":[64],"prevent":[66],"overfitting":[67],"multicollinearity.":[69],"this":[71],"study,":[72],"we":[73],"perform":[74],"feature-selective":[75,165],"power":[78,154],"predictions":[80,121,140],"an":[83,111],"ensemble":[84,112,135,166],"model":[85,146,167],"that":[86,158],"combines":[87],"learning":[89],"methods":[90],"traditional":[92],"time-series":[93],"predictions.":[94],"We":[95],"provide":[96],"a":[97,170],"framework":[98],"performing":[100],"through":[103],"correlation":[104],"analysis":[105],"backward":[107],"elimination,":[108],"along":[109],"with":[110,147],"prediction":[113,143],"methodology":[114],"selection.":[118],"Utilities":[119],"gather":[120],"from":[122],"various":[123,142],"sources":[124],"need":[126],"consider":[128],"them":[129],"make":[131],"accurate":[132,139],"forecasts.":[133],"Our":[134],"method":[136],"produce":[138],"using":[141],"sources.":[144],"The":[145],"applied":[148],"shows":[151,174],"higher":[152],"predictive":[153,177],"than":[155],"other":[156],"models":[157],"use":[159],"arbitrary":[160],"features,":[161],"the":[163,175],"proposed":[164],"convolutional":[171],"neural":[172],"network":[173],"best":[176],"power.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}