{"id":"https://openalex.org/W4285224575","doi":"https://doi.org/10.1109/access.2022.3177223","title":"A Data-Driven Reduced Order Modeling for Fluid Flow Analysis Based on Series Forecasting Intelligent Algorithm","display_name":"A Data-Driven Reduced Order Modeling for Fluid Flow Analysis Based on Series Forecasting Intelligent Algorithm","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285224575","doi":"https://doi.org/10.1109/access.2022.3177223"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3177223","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3177223","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09780157.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/ielx7/6287639/6514899/09780157.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074032723","display_name":"Li Xu","orcid":"https://orcid.org/0000-0002-9468-7629"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xu","raw_affiliation_strings":["College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China","College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 200090, China"],"raw_orcid":"https://orcid.org/0000-0002-9468-7629","affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 200090, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087267451","display_name":"Guanhao Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanhao Zhou","raw_affiliation_strings":["College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China","College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 200090, China"],"raw_orcid":"https://orcid.org/0000-0002-3443-0119","affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 200090, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103175723","display_name":"Fengfeng Zhao","orcid":"https://orcid.org/0000-0001-9636-5917"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengfeng Zhao","raw_affiliation_strings":["College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China","College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 200090, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 200090, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049804072","display_name":"Zhao-Liang Guo","orcid":"https://orcid.org/0000-0002-6979-5193"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoliang Guo","raw_affiliation_strings":["College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China","College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 200090, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 200090, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114929511","display_name":"Kaijun Zhang","orcid":"https://orcid.org/0000-0002-2415-7817"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaijun Zhang","raw_affiliation_strings":["College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China","College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 200090, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]},{"raw_affiliation_string":"College of Mathematics and Physics, Shanghai University of Electric Power, Shanghai 200090, China","institution_ids":["https://openalex.org/I23632641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I23632641"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2203,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.78277134,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"60163","last_page":"60176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11254","display_name":"Fluid Dynamics and Vibration Analysis","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10360","display_name":"Fluid Dynamics and Turbulent Flows","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/algorithm","display_name":"Algorithm","score":0.6889030933380127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5525031685829163},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.49158963561058044},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4145733714103699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29479554295539856},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19271451234817505},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1326480209827423}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6889030933380127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5525031685829163},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.49158963561058044},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4145733714103699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29479554295539856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19271451234817505},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1326480209827423}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3177223","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3177223","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09780157.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:ec6e476e63474cfab6b312a0b7e1edf8","is_oa":true,"landing_page_url":"https://doaj.org/article/ec6e476e63474cfab6b312a0b7e1edf8","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 10, Pp 60163-60176 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3177223","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3177223","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09780157.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":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4512893284","display_name":null,"funder_award_id":"11502141","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285224575.pdf","grobid_xml":"https://content.openalex.org/works/W4285224575.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1633869374","https://openalex.org/W1967165162","https://openalex.org/W2059316647","https://openalex.org/W2064675550","https://openalex.org/W2079735306","https://openalex.org/W2092398714","https://openalex.org/W2127940547","https://openalex.org/W2136848157","https://openalex.org/W2194775991","https://openalex.org/W2278435829","https://openalex.org/W2549171672","https://openalex.org/W2585298970","https://openalex.org/W2726637436","https://openalex.org/W2766298346","https://openalex.org/W2809491586","https://openalex.org/W2885397520","https://openalex.org/W2897063121","https://openalex.org/W2982583578","https://openalex.org/W2986795381","https://openalex.org/W2988185395","https://openalex.org/W3004360475","https://openalex.org/W3012007521","https://openalex.org/W3014674130","https://openalex.org/W3019442097","https://openalex.org/W3025047062","https://openalex.org/W3039152077","https://openalex.org/W3046741291","https://openalex.org/W3084847489","https://openalex.org/W3099969702","https://openalex.org/W3104179623","https://openalex.org/W3124389259","https://openalex.org/W3131838898","https://openalex.org/W3135481891","https://openalex.org/W3153519416","https://openalex.org/W3187481252","https://openalex.org/W3206806480","https://openalex.org/W6749825310","https://openalex.org/W6750886758","https://openalex.org/W6786151208"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4],"a":[5,87,94],"data-driven":[6],"reduced-order":[7,147],"model":[8],"(ROM)":[9],"for":[10,47],"high":[11],"dimensional":[12],"flow":[13,17,41,48,85,92,101,104,150],"fields":[14],"by":[15,78],"combining":[16],"modal":[18,49],"decomposition":[19,26],"and":[20,37,65,80,90,102,113],"multiple":[21],"regression.":[22],"SVD-based":[23],"proper":[24],"orthogonal":[25],"(POD)":[27],"is":[28,51,121],"employed":[29],"to":[30,124],"extract":[31],"principal":[32],"spatial":[33],"modes":[34],"representing":[35],"energy":[36],"dynamics":[38],"level":[39],"of":[40,73,119,149],"field.":[42,151],"The":[43,71,96],"temporal":[44,66],"coefficient":[45],"regression":[46],"series":[50],"realized":[52],"through":[53],"intelligent":[54],"algorithms:":[55],"light":[56],"gradient":[57],"boosting":[58],"machine":[59],"(LGBM),":[60],"long":[61],"short-term":[62],"memory":[63],"(LSTM),":[64],"convolutional":[67],"neural":[68],"network":[69],"(TCN).":[70],"performance":[72],"the":[74,110,116,122,125,129,141,146],"ROMs":[75],"are":[76,105],"assessed":[77],"predicting":[79],"analyzing":[81],"low":[82],"Reynolds":[83],"number":[84],"around":[86,93],"circular":[88],"cylinder":[89],"transonic":[91],"airfoil.":[95],"experiments":[97],"show":[98],"that":[99,140],"vortex":[100],"shock":[103],"both":[106],"well":[107],"predicted":[108],"with":[109,128],"POD-LGBM,":[111],"POD-LSTM":[112],"POD-TCN,":[114],"whereas":[115],"prediction":[117,142],"result":[118],"POD-TCN":[120],"closest":[123],"numerical":[126],"solution,":[127],"minimum":[130],"root":[131],"mean":[132],"squared":[133],"error.":[134],"Also,":[135],"it":[136],"should":[137],"be":[138],"noted":[139],"accuracy":[143],"depends":[144],"on":[145],"results":[148]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
