{"id":"https://openalex.org/W4389731426","doi":"https://doi.org/10.3233/faia231038","title":"Application of a Hybrid Model of HPO and LSTM Neural Network Based on ICEEMDAN for Wind Speed Forecasting","display_name":"Application of a Hybrid Model of HPO and LSTM Neural Network Based on ICEEMDAN for Wind Speed Forecasting","publication_year":2023,"publication_date":"2023-12-12","ids":{"openalex":"https://openalex.org/W4389731426","doi":"https://doi.org/10.3233/faia231038"},"language":"en","primary_location":{"id":"doi:10.3233/faia231038","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia231038","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231038","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231038","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112837816","display_name":"Qi Bi","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Bi","raw_affiliation_strings":["College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","Northwest Normal University, Lanzhou, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"Northwest Normal University, Lanzhou, China;","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026108247","display_name":"Yulong Bai","orcid":"https://orcid.org/0009-0001-7106-8518"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu-long Bai","raw_affiliation_strings":["College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","Northwest Normal University, Lanzhou, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"Northwest Normal University, Lanzhou, China;","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069824672","display_name":"Yu-ting Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-ting Huang","raw_affiliation_strings":["College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","Northwest Normal University, Lanzhou, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"Northwest Normal University, Lanzhou, China;","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102687120","display_name":"Jun-tao Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-tao Hong","raw_affiliation_strings":["College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","Northwest Normal University, Lanzhou, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"Northwest Normal University, Lanzhou, China;","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069268307","display_name":"Zhi-ru Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-ru Chen","raw_affiliation_strings":["College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","Northwest Normal University, Lanzhou, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"Northwest Normal University, Lanzhou, China;","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040777575","display_name":"Zaihong Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zai-hong Hou","raw_affiliation_strings":["College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","Northwest Normal University, Lanzhou, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Electrical Engineering, Northwest Normal University, Lanzhou, China","institution_ids":["https://openalex.org/I68986083"]},{"raw_affiliation_string":"Northwest Normal University, Lanzhou, China;","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026108247"],"corresponding_institution_ids":["https://openalex.org/I68986083"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49026899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9994999766349792,"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":0.9994999766349792,"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/T10424","display_name":"Electric Power System Optimization","score":0.927299976348877,"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/wind-speed","display_name":"Wind speed","score":0.6990506052970886},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5823599696159363},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5449865460395813},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5212041139602661},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.4488822817802429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4269047975540161},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3641418218612671},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29652655124664307},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.26608699560165405},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2606571316719055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2579132318496704},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21023821830749512},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.12802475690841675},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07710903882980347}],"concepts":[{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.6990506052970886},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5823599696159363},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5449865460395813},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5212041139602661},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4488822817802429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4269047975540161},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3641418218612671},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29652655124664307},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.26608699560165405},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2606571316719055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2579132318496704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21023821830749512},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.12802475690841675},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07710903882980347},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia231038","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia231038","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231038","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia231038","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia231038","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA231038","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389731426.pdf","grobid_xml":"https://content.openalex.org/works/W4389731426.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1120922828","https://openalex.org/W2793187554","https://openalex.org/W2996058680","https://openalex.org/W3189501841","https://openalex.org/W3212043425","https://openalex.org/W3215102838","https://openalex.org/W4220732012","https://openalex.org/W4229446061","https://openalex.org/W4295292699","https://openalex.org/W4296858591"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W4380482219","https://openalex.org/W4377969695","https://openalex.org/W2088241642"],"abstract_inverted_index":{"Wind":[0],"power":[1,22,29],"has":[2,38],"the":[3,25,32,51,56,77,83,90,98,107,112,145,150,153,156,165,174,182,186,203],"benefits":[4],"of":[5,20,27,34,50,111,133,149,155,167,176,185,202],"low":[6,8],"cost,":[7],"emission,":[9],"abundant":[10],"resources,":[11],"and":[12,18,55,95,147,152,170,180,198,210],"renewability.":[13],"The":[14,160,213],"inherent":[15],"randomness,":[16],"intermittency,":[17],"fluctuation":[19],"wind":[21,28,35,79,92,114,177,221],"bring":[23],"about":[24],"volatility":[26],"generation.":[30],"Ameliorating":[31],"precision":[33],"speed":[36,80,93,115,222],"prediction":[37,122,215],"great":[39],"significance.":[40],"This":[41],"study":[42],"aimed":[43],"to":[44,75,88,101,143],"put":[45],"forward":[46],"a":[47],"hybrid":[48],"model":[49,85,100,157,216],"hunter\u2013prey":[52],"optimization":[53],"(HPO)":[54],"long":[57],"short-term":[58],"memory":[59],"(LSTM)":[60],"neural":[61],"network":[62],"based":[63,129],"on":[64,130],"improved":[65],"complementary":[66],"ensemble":[67],"empirical":[68],"mode":[69],"decomposition":[70,169],"with":[71,135],"adaptive":[72],"noise":[73],"(ICEEMDAN)":[74],"acquire":[76],"exact":[78],"forecast.":[81],"First,":[82],"ICEEMDAN\u2013HPO\u2013LSTM":[84],"used":[86,97,219],"ICEEMDAN":[87,168],"preprocess":[89],"raw":[91],"sequence":[94,116,137],"then":[96],"HPO\u2013LSTM":[99,171],"forecast":[102],"each":[103],"decomposed":[104],"subsequence.":[105],"Ultimately,":[106],"last":[108],"predicted":[109],"outcomes":[110],"original":[113],"were":[117,127,158,206],"attained":[118],"by":[119],"synthesizing":[120],"all":[121],"subseries.":[123],"Five":[124],"comparison":[125],"models":[126],"established":[128],"three":[131,204],"sets":[132],"data":[134],"different":[136],"lengths":[138],"in":[139],"Inner":[140],"Mongolia,":[141],"China,":[142],"test":[144],"dependability":[146],"utility":[148],"model,":[151],"advantages":[154],"proved.":[159],"findings":[161],"displayed":[162],"that":[163],"(1)":[164],"constitution":[166],"could":[172],"ameliorate":[173],"behavior":[175],"velocity":[178],"forecast;":[179],"(2)":[181],"average":[183],"values":[184],"mean":[187,190,195],"absolute":[188,191],"error,":[189,193,197],"percentage":[192],"root":[194],"square":[196],"determination":[199],"coefficient":[200],"(R2)":[201],"datasets":[205],"0.22411,":[207],"4.60277%,":[208],"0.27590,":[209],"0.99719,":[211],"respectively.":[212],"proposed":[214],"can":[217],"be":[218],"for":[220],"forecasts.":[223]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
