{"id":"https://openalex.org/W3014018326","doi":"https://doi.org/10.1109/access.2020.2982839","title":"Short-Term Wind Speed Forecasting With Principle-Subordinate Predictor Based on Conv-LSTM and Improved BPNN","display_name":"Short-Term Wind Speed Forecasting With Principle-Subordinate Predictor Based on Conv-LSTM and Improved BPNN","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3014018326","doi":"https://doi.org/10.1109/access.2020.2982839","mag":"3014018326"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2982839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982839","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044851.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/ielx7/6287639/8948470/09044851.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082794015","display_name":"Gonggui Chen","orcid":"https://orcid.org/0000-0002-8601-8812"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gonggui Chen","raw_affiliation_strings":["Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China","Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-8601-8812","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376785","display_name":"Lijun Li","orcid":"https://orcid.org/0000-0002-2371-0510"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Li","raw_affiliation_strings":["Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China","Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2371-0510","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Complex Systems and Bionic Control, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100685391","display_name":"Zhizhong Zhang","orcid":"https://orcid.org/0000-0002-8798-983X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizhong Zhang","raw_affiliation_strings":["Key Laboratory of Communication Network and Testing Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-8798-983X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Communication Network and Testing Technology, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021012603","display_name":"Shuaiyong Li","orcid":"https://orcid.org/0000-0002-3914-5173"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaiyong Li","raw_affiliation_strings":["Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-3914-5173","affiliations":[{"raw_affiliation_string":"Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.533,"has_fulltext":true,"cited_by_count":52,"citation_normalized_percentile":{"value":0.93422727,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"67955","last_page":"67973"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12368","display_name":"Grey System Theory Applications","score":0.9555000066757202,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.7013168931007385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7001791596412659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5678228735923767},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5386438369750977},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4696492552757263},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4695071876049042},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.46245670318603516},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.4449896216392517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4387549161911011},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4290611445903778},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4199032485485077},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39303553104400635},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.25976330041885376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22494572401046753},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16763636469841003},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.07076776027679443}],"concepts":[{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.7013168931007385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001791596412659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5678228735923767},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5386438369750977},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4696492552757263},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4695071876049042},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.46245670318603516},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4449896216392517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4387549161911011},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4290611445903778},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4199032485485077},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39303553104400635},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.25976330041885376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22494572401046753},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16763636469841003},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.07076776027679443},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2982839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982839","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044851.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:01d310c59d774dfdad17b1b8480e23a0","is_oa":true,"landing_page_url":"https://doaj.org/article/01d310c59d774dfdad17b1b8480e23a0","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 67955-67973 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2982839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2982839","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09044851.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","display_name":"Affordable and clean energy","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G4313119836","display_name":null,"funder_award_id":"cstc2018jcyjAX0536","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G4913747758","display_name":null,"funder_award_id":"KJTD201312","funder_id":"https://openalex.org/F4320321135","funder_display_name":"Chongqing University"},{"id":"https://openalex.org/G70105606","display_name":null,"funder_award_id":"61703066","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"},{"id":"https://openalex.org/F4320321135","display_name":"Chongqing University","ror":"https://ror.org/023rhb549"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014018326.pdf","grobid_xml":"https://content.openalex.org/works/W3014018326.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W863118248","https://openalex.org/W1452761747","https://openalex.org/W1634828275","https://openalex.org/W1993172973","https://openalex.org/W2004193933","https://openalex.org/W2006493581","https://openalex.org/W2036681246","https://openalex.org/W2142809749","https://openalex.org/W2197620369","https://openalex.org/W2254535312","https://openalex.org/W2278279974","https://openalex.org/W2284726324","https://openalex.org/W2286725013","https://openalex.org/W2290883490","https://openalex.org/W2329476579","https://openalex.org/W2401688955","https://openalex.org/W2404144478","https://openalex.org/W2413927587","https://openalex.org/W2511683089","https://openalex.org/W2533807209","https://openalex.org/W2560370080","https://openalex.org/W2581822685","https://openalex.org/W2607491490","https://openalex.org/W2610635404","https://openalex.org/W2618615629","https://openalex.org/W2729912483","https://openalex.org/W2731024278","https://openalex.org/W2742365644","https://openalex.org/W2755841959","https://openalex.org/W2762198305","https://openalex.org/W2768148056","https://openalex.org/W2769156605","https://openalex.org/W2770058012","https://openalex.org/W2773931999","https://openalex.org/W2790834859","https://openalex.org/W2800437387","https://openalex.org/W2801503429","https://openalex.org/W2804526541","https://openalex.org/W2883208472","https://openalex.org/W2891364111","https://openalex.org/W2899335073","https://openalex.org/W2900921197","https://openalex.org/W2901964425","https://openalex.org/W2944487131","https://openalex.org/W2973960501"],"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/W2072581623","https://openalex.org/W2011248322","https://openalex.org/W2088241642"],"abstract_inverted_index":{"To":[0],"improve":[1,127],"the":[2,40,49,66,78,84,114,128,136,144,151,172,197,206],"accuracy":[3],"of":[4,42,52,130,138,174],"short":[5],"term":[6],"wind":[7,43,116,139,163,223,225],"speed":[8,44,117,140,164,226],"forecasting,":[9],"a":[10],"novel":[11],"principle-subordinate":[12],"prediction":[13,50,85,187],"model":[14,28,91,103,199],"based":[15],"on":[16,148,221],"Conv-LSTM":[17,58,145],"network":[18,36],"and":[19,33,63,99,112,134,166],"BPNN":[20],"is":[21,55,75,124,146,157],"designed":[22],"in":[23],"this":[24,47],"paper.":[25],"The":[26,185],"proposed":[27,198],"combines":[29],"deep":[30,170],"learning":[31],"algorithms":[32],"improved":[34],"neural":[35],"to":[37,59,110,126,132,159,181],"deal":[38],"with":[39,77,190],"problem":[41],"forecasting.":[45],"In":[46,142],"model,":[48],"sequence":[51,86],"each":[53,175],"subseries":[54],"obtained":[56,218],"by":[57,69,87],"form":[60],"more":[61],"smoother":[62],"characteristic":[64],"series;":[65],"BPNN,":[67],"optimized":[68],"MWOA":[70],"(Modified":[71],"Whale":[72],"Optimization":[73],"Algorithm),":[74],"trained":[76],"reconstruction":[79],"sequence,":[80],"which":[81],"processed":[82],"for":[83],"invert-EMD":[88],"(inverse":[89],"empirical":[90,102],"decomposition).":[92],"Before":[93],"prediction,":[94],"singular":[95],"spectrum":[96],"analysis":[97],"(SSA)":[98],"complete":[100],"ensemble":[101],"decomposition":[104],"adaptive":[105],"noise":[106,133],"(CEEMDAN)":[107],"are":[108,216],"adopted":[109],"de-noise":[111],"decompose":[113],"original":[115],"data":[118,155],"into":[119],"several":[120],"subseries.":[121],"This":[122],"process":[123,156],"beneficial":[125],"ratio":[129],"signal":[131],"simply":[135],"features":[137],"data.":[141],"addition,":[143],"tested":[147],"three":[149,222],"datasets,":[150,165],"results":[152],"proved":[153],"that":[154,196],"advantaged":[158],"obtain":[160],"higher":[161,202],"quality":[162],"convolutional":[167],"layer":[168],"can":[169,178,200],"extract":[171],"characteristics":[173],"subseries,":[176],"it":[177],"facilitate":[179],"LSTM":[180],"make":[182],"accurate":[183],"prediction.":[184],"final":[186],"results,":[188],"compared":[189],"other":[191],"five":[192],"different":[193,224],"models,":[194],"demonstrate":[195],"achieve":[201],"precision.":[203],"Such":[204],"as":[205],"performance":[207],"evaluation":[208],"matrix":[209],"(MAPE":[210],"=":[211,214],"2.62%,":[212],"RMSE":[213],"0.151)":[215],"smallest":[217],"from":[219],"experiments":[220],"datasets.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
