{"id":"https://openalex.org/W4317242518","doi":"https://doi.org/10.1109/tii.2022.3230726","title":"Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction","display_name":"Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction","publication_year":2023,"publication_date":"2023-01-18","ids":{"openalex":"https://openalex.org/W4317242518","doi":"https://doi.org/10.1109/tii.2022.3230726"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3230726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3230726","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100617252","display_name":"Md. Alamgir Hossain","orcid":"https://orcid.org/0000-0001-9382-3935"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Md Alamgir Hossain","raw_affiliation_strings":["Queensland Micro- and Nano-technology Centre, Griffith University, Nathan, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9382-3935","affiliations":[{"raw_affiliation_string":"Queensland Micro- and Nano-technology Centre, Griffith University, Nathan, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029272842","display_name":"Evan Gray","orcid":"https://orcid.org/0000-0002-3521-5007"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Evan Gray","raw_affiliation_strings":["Queensland Micro- and Nano-technology Centre, Griffith University, Nathan, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3521-5007","affiliations":[{"raw_affiliation_string":"Queensland Micro- and Nano-technology Centre, Griffith University, Nathan, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091073781","display_name":"Junwei Lu","orcid":"https://orcid.org/0000-0001-9942-4265"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junwei Lu","raw_affiliation_strings":["Queensland Micro- and Nano-technology Centre, Griffith University, Nathan, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9942-4265","affiliations":[{"raw_affiliation_string":"Queensland Micro- and Nano-technology Centre, Griffith University, Nathan, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072983860","display_name":"Md. Rabiul Islam","orcid":"https://orcid.org/0000-0003-3133-9333"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Md Rabiul Islam","raw_affiliation_strings":["School of Engineering and IT, University of New South Wales-Canberra, Canberra, ACT, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and IT, University of New South Wales-Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087367316","display_name":"Md Shafiul Alam","orcid":"https://orcid.org/0000-0002-8505-8011"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Md Shafiul Alam","raw_affiliation_strings":["Applied Research Centre for Environment &amp; Marine Studies, King Fahd University of Petroleum &amp; Minerals, Dhahran, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-8505-8011","affiliations":[{"raw_affiliation_string":"Applied Research Centre for Environment &amp; Marine Studies, King Fahd University of Petroleum &amp; Minerals, Dhahran, Saudi Arabia","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054715965","display_name":"Ripon K. Chakrabortty","orcid":"https://orcid.org/0000-0002-7373-0149"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ripon Chakrabortty","raw_affiliation_strings":["School of Engineering and IT, University of New South Wales-Canberra, Canberra, ACT, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7373-0149","affiliations":[{"raw_affiliation_string":"School of Engineering and IT, University of New South Wales-Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005915031","display_name":"H. R. Pota","orcid":"https://orcid.org/0000-0002-9612-714X"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hemanshu Roy Pota","raw_affiliation_strings":["School of Engineering and IT, University of New South Wales-Canberra, Canberra, ACT, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9612-714X","affiliations":[{"raw_affiliation_string":"School of Engineering and IT, University of New South Wales-Canberra, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100617252"],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":null,"apc_paid":null,"fwci":13.1234,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.99295577,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"19","issue":"10","first_page":"10145","last_page":"10159"},"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9563999772071838,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9376999735832214,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/computer-science","display_name":"Computer science","score":0.6070247888565063},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5902366042137146},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.517254650592804},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.48199930787086487},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4511220157146454},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.44350650906562805},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4359714090824127},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4265497326850891},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42050525546073914},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.41104578971862793},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.4043434262275696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3924175500869751},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38011494278907776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33055371046066284},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.29351601004600525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22484645247459412},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12458592653274536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070247888565063},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5902366042137146},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.517254650592804},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.48199930787086487},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4511220157146454},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.44350650906562805},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4359714090824127},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4265497326850891},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42050525546073914},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.41104578971862793},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.4043434262275696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3924175500869751},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38011494278907776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33055371046066284},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.29351601004600525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22484645247459412},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12458592653274536},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tii.2022.3230726","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3230726","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/421842","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/421842","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G1224465954","display_name":null,"funder_award_id":"CRC-20180101","funder_id":"https://openalex.org/F4320315885","funder_display_name":"Australian Government"}],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W341879454","https://openalex.org/W2000982976","https://openalex.org/W2036845674","https://openalex.org/W2120390927","https://openalex.org/W2125056386","https://openalex.org/W2153263933","https://openalex.org/W2912157889","https://openalex.org/W2925057617","https://openalex.org/W2926876256","https://openalex.org/W2973960501","https://openalex.org/W2977330618","https://openalex.org/W2995621191","https://openalex.org/W2996058680","https://openalex.org/W3000951064","https://openalex.org/W3004665554","https://openalex.org/W3005289256","https://openalex.org/W3019251610","https://openalex.org/W3033131237","https://openalex.org/W3036688307","https://openalex.org/W3038702313","https://openalex.org/W3059934811","https://openalex.org/W3110880468","https://openalex.org/W3120487494","https://openalex.org/W3134482564","https://openalex.org/W3152998456","https://openalex.org/W3171670589","https://openalex.org/W4200502332","https://openalex.org/W4221048209","https://openalex.org/W4240615119","https://openalex.org/W6793839991"],"related_works":["https://openalex.org/W4295309597","https://openalex.org/W4323894855","https://openalex.org/W3081580854","https://openalex.org/W4287683259","https://openalex.org/W4210794429","https://openalex.org/W4223456145","https://openalex.org/W4309113015","https://openalex.org/W3199608561","https://openalex.org/W4283697347","https://openalex.org/W1567379918"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3],"novel":[4],"framework":[5,19],"to":[6,46,67,101,114,158,172,176],"improve":[7,132],"the":[8,77,81,84,105,116,124,159],"prediction":[9,118,179],"accuracy":[10,134],"of":[11,21,51,83],"very":[12],"short-term":[13,37],"(5-min)":[14],"wind":[15,91],"power":[16],"generation.":[17],"The":[18,42,120],"consists":[20],"complete":[22],"ensemble":[23],"empirical":[24],"mode":[25,56],"decomposition":[26],"with":[27,64,127],"adaptive":[28],"noise":[29],"(CEEMDAN),":[30],"monarch":[31],"butterfly":[32],"optimization":[33,78],"(MBO)":[34],"and":[35,73,99,103,149,168],"long":[36],"memory":[38],"(LSTM),":[39],"called":[40],"CEMOLS.":[41],"CEEMDAN":[43],"is":[44],"employed":[45],"extract":[47],"complex":[48],"hidden":[49],"features":[50],"time-series":[52],"data":[53],"into":[54],"intrinsic":[55],"functions":[57],"that":[58,123,166],"are":[59,97,112],"predicted":[60],"using":[61],"LSTM":[62],"models":[63,111,180,183],"dropout":[65],"regularization":[66],"retain":[68],"long-term":[69],"relationships":[70],"between":[71],"input":[72],"output":[74],"data,":[75],"while":[76],"algorithm":[79],"tunes":[80],"hyperparameters":[82],"forecasting":[85,106,133],"model.":[86,119,162],"Data":[87],"from":[88],"four":[89],"real":[90],"farms":[92],"in":[93,139,144,151],"New":[94],"South":[95],"Wales":[96],"collected":[98],"preprocessed":[100],"train":[102],"test":[104],"models.":[107],"Recently":[108],"developed":[109],"rival":[110,182],"compared":[113,157],"identify":[115],"best-performing":[117],"analysis":[121,170],"demonstrates":[122,165],"proposed":[125],"CEMOLS":[126],"low":[128],"computation":[129],"time":[130],"can":[131],"on":[135],"average":[136],"by":[137],"32.96%":[138],"mean":[140,146,152],"absolute":[141,153],"error,":[142],"47.10%":[143],"root":[145],"square":[147],"error":[148,155],"32.33%":[150],"percentage":[154],"as":[156],"benchmark":[160],"Persistence":[161],"It":[163],"also":[164],"sensitive":[167],"statistical":[169],"needs":[171],"be":[173],"carried":[174],"out":[175],"determine":[177],"robust":[178],"among":[181],"for":[184],"practical":[185],"application.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":47},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":12}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2023-01-18T00:00:00"}
