{"id":"https://openalex.org/W4391547664","doi":"https://doi.org/10.1109/access.2024.3362234","title":"Ultra-Short Term Photovoltaic Generation Forecasting Based on Data Decomposition and Customized Hybrid Model Architecture","display_name":"Ultra-Short Term Photovoltaic Generation Forecasting Based on Data Decomposition and Customized Hybrid Model Architecture","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391547664","doi":"https://doi.org/10.1109/access.2024.3362234"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3362234","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3362234","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10419336.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":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://ieeexplore.ieee.org/ielx7/6287639/6514899/10419336.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090635379","display_name":"Jooseung Lee","orcid":"https://orcid.org/0009-0003-2070-1496"},"institutions":[{"id":"https://openalex.org/I196471810","display_name":"Korea Electrotechnology Research Institute","ror":"https://ror.org/03ctacd45","country_code":"KR","type":"nonprofit","lineage":["https://openalex.org/I196471810"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jooseung Lee","raw_affiliation_strings":["Power Grid Research Division, Korea Electrotechnology Research Institute, Ansan, South Korea"],"raw_orcid":"https://orcid.org/0009-0003-2070-1496","affiliations":[{"raw_affiliation_string":"Power Grid Research Division, Korea Electrotechnology Research Institute, Ansan, South Korea","institution_ids":["https://openalex.org/I196471810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031130140","display_name":"Jimyung Kang","orcid":"https://orcid.org/0000-0002-5922-4434"},"institutions":[{"id":"https://openalex.org/I196471810","display_name":"Korea Electrotechnology Research Institute","ror":"https://ror.org/03ctacd45","country_code":"KR","type":"nonprofit","lineage":["https://openalex.org/I196471810"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jimyung Kang","raw_affiliation_strings":["Power Grid Research Division, Korea Electrotechnology Research Institute, Ansan, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5922-4434","affiliations":[{"raw_affiliation_string":"Power Grid Research Division, Korea Electrotechnology Research Institute, Ansan, South Korea","institution_ids":["https://openalex.org/I196471810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084333243","display_name":"Soonwoo Lee","orcid":"https://orcid.org/0000-0003-1991-6767"},"institutions":[{"id":"https://openalex.org/I196471810","display_name":"Korea Electrotechnology Research Institute","ror":"https://ror.org/03ctacd45","country_code":"KR","type":"nonprofit","lineage":["https://openalex.org/I196471810"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soonwoo Lee","raw_affiliation_strings":["Power Grid Research Division, Korea Electrotechnology Research Institute, Ansan, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1991-6767","affiliations":[{"raw_affiliation_string":"Power Grid Research Division, Korea Electrotechnology Research Institute, Ansan, South Korea","institution_ids":["https://openalex.org/I196471810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082819764","display_name":"Hui-Myoung Oh","orcid":"https://orcid.org/0009-0003-5521-2959"},"institutions":[{"id":"https://openalex.org/I196471810","display_name":"Korea Electrotechnology Research Institute","ror":"https://ror.org/03ctacd45","country_code":"KR","type":"nonprofit","lineage":["https://openalex.org/I196471810"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hui-Myoung Oh","raw_affiliation_strings":["Power Grid Research Division, Korea Electrotechnology Research Institute, Ansan, South Korea"],"raw_orcid":"https://orcid.org/0009-0003-5521-2959","affiliations":[{"raw_affiliation_string":"Power Grid Research Division, Korea Electrotechnology Research Institute, Ansan, South Korea","institution_ids":["https://openalex.org/I196471810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090635379"],"corresponding_institution_ids":["https://openalex.org/I196471810"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.881,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95459357,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"20840","last_page":"20853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"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/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9991999864578247,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9991000294685364,"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/photovoltaic-system","display_name":"Photovoltaic system","score":0.7587714791297913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7573294639587402},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5233516097068787},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5033223032951355},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.46139049530029297},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4416459798812866},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4393000602722168},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4365052282810211},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.426189124584198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41621536016464233},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34689295291900635},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2584042251110077},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13090932369232178},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12644624710083008}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.7587714791297913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7573294639587402},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5233516097068787},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5033223032951355},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.46139049530029297},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4416459798812866},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4393000602722168},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4365052282810211},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.426189124584198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41621536016464233},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34689295291900635},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2584042251110077},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13090932369232178},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12644624710083008},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3362234","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3362234","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10419336.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":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:91a29b18b18d48f98ca91ae6fde824ff","is_oa":true,"landing_page_url":"https://doaj.org/article/91a29b18b18d48f98ca91ae6fde824ff","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 12, Pp 20840-20853 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3362234","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3362234","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10419336.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1268260871","display_name":null,"funder_award_id":"23A01040","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"}],"funders":[{"id":"https://openalex.org/F4320322100","display_name":"Korea Electrotechnology Research Institute","ror":"https://ror.org/03ctacd45"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391547664.pdf","grobid_xml":"https://content.openalex.org/works/W4391547664.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2026241078","https://openalex.org/W2045585734","https://openalex.org/W2064675550","https://openalex.org/W2074457964","https://openalex.org/W2164777612","https://openalex.org/W2469734051","https://openalex.org/W2525448601","https://openalex.org/W2621841909","https://openalex.org/W2888165363","https://openalex.org/W2899889651","https://openalex.org/W2911665739","https://openalex.org/W2921934006","https://openalex.org/W2949062675","https://openalex.org/W2960115148","https://openalex.org/W2990430732","https://openalex.org/W3009377873","https://openalex.org/W3019075159","https://openalex.org/W3094568806","https://openalex.org/W3118575555","https://openalex.org/W3143695130","https://openalex.org/W3153010532","https://openalex.org/W3165128203","https://openalex.org/W3203927449","https://openalex.org/W3208259726","https://openalex.org/W4206624696","https://openalex.org/W4285138256","https://openalex.org/W4296916381","https://openalex.org/W4307711985","https://openalex.org/W4378675486","https://openalex.org/W4382134367","https://openalex.org/W4382203079","https://openalex.org/W4385245566","https://openalex.org/W6797297377"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2386968573","https://openalex.org/W2395064349","https://openalex.org/W2034374297","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2766130412","https://openalex.org/W2521347458","https://openalex.org/W2382628689","https://openalex.org/W2498789492"],"abstract_inverted_index":{"As":[0],"photovoltaic":[1],"(PV)":[2],"systems":[3],"have":[4,36,50,67],"been":[5,38],"successfully":[6],"adopted":[7],"worldwide,":[8],"accurate":[9,43],"power":[10,18,47,79],"generation":[11,48,80],"forecasting":[12,81,97,159,168],"becomes":[13],"increasingly":[14],"essential":[15],"to":[16,25,92,139,144,162],"stable":[17],"grid":[19,23],"operation":[20],"and":[21,49,109,112,121,164],"smart":[22],"applications":[24],"cope":[26],"with":[27,83,132,170],"the":[28,41,60,99,103,118,127,135,148,153,157],"variability":[29],"of":[30,45,62],"PV":[31,46,78,93,137],"systems.":[32],"Several":[33],"data-driven":[34],"models":[35,57,66,169],"recently":[37],"proposed":[39,88,100,128,154],"for":[40,89],"more":[42],"prediction":[44],"shown":[51],"good":[52],"performance.":[53],"In":[54],"particular,":[55],"hybrid":[56,85],"that":[58,152],"combine":[59],"characteristics":[61],"single-structure":[63],"deep":[64,166],"learning-based":[65,167],"achieved":[68],"better":[69],"accuracies.":[70],"To":[71],"this":[72],"end,":[73],"a":[74,84,141],"novel":[75],"ultra-short":[76],"term":[77],"model":[82,101,129,142,155],"structure":[86],"is":[87,130],"instantaneous":[90],"response":[91],"fluctuations.":[94],"For":[95],"higher":[96],"accuracy,":[98],"decomposes":[102],"input":[104],"feature":[105],"data":[106,133],"into":[107],"trend":[108],"residual":[110],"components":[111],"employs":[113],"customized":[114],"sub-models":[115],"such":[116],"as":[117],"linear,":[119],"Transformer,":[120],"long":[122],"short-term":[123],"memory":[124],"(LSTM).":[125],"Furthermore,":[126],"trained":[131],"from":[134],"self-built":[136],"site":[138],"implement":[140],"suitable":[143],"real-world":[145],"applications.":[146],"Finally,":[147],"experimental":[149],"results":[150],"demonstrate":[151],"has":[156],"best":[158],"performance":[160],"compared":[161],"conventional":[163],"state-of-the-art":[165],"reasonable":[171],"computational":[172],"complexity.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
