{"id":"https://openalex.org/W4321453913","doi":"https://doi.org/10.1177/01423312231153258","title":"Ultra-short-term wind power prediction based on double decomposition and LSSVM","display_name":"Ultra-short-term wind power prediction based on double decomposition and LSSVM","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4321453913","doi":"https://doi.org/10.1177/01423312231153258"},"language":"en","primary_location":{"id":"doi:10.1177/01423312231153258","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01423312231153258","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","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/A5007909299","display_name":"Bin Qin","orcid":"https://orcid.org/0000-0001-5695-0791"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Qin","raw_affiliation_strings":["School of Electrical & Information Engineering, Hunan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Information Engineering, Hunan University of Technology, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021345568","display_name":"Xun Huang","orcid":"https://orcid.org/0000-0001-9441-1473"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Huang","raw_affiliation_strings":["College of Railway Transportation, Hunan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"College of Railway Transportation, Hunan University of Technology, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770129","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-9075-2833"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Wang","raw_affiliation_strings":["School of Electrical & Information Engineering, Hunan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical & Information Engineering, Hunan University of Technology, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002641786","display_name":"Lingzhong Guo","orcid":"https://orcid.org/0000-0002-3832-1227"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lingzhong Guo","raw_affiliation_strings":["Department of Automatic Control and Systems Engineering, The University of Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Control and Systems Engineering, The University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100770129"],"corresponding_institution_ids":["https://openalex.org/I49934816"],"apc_list":null,"apc_paid":null,"fwci":2.3382,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8852071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"45","issue":"14","first_page":"2627","last_page":"2636"},"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/T14444","display_name":"Power Systems and Renewable Energy","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"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/T12451","display_name":"Smart Grid and Power Systems","score":0.9778000116348267,"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-power","display_name":"Wind power","score":0.6501837968826294},{"id":"https://openalex.org/keywords/least-squares-support-vector-machine","display_name":"Least squares support vector machine","score":0.602649986743927},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5446311235427856},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5301141738891602},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4779479503631592},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4752086102962494},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.44751760363578796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43730810284614563},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.41873496770858765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4169508218765259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32395151257514954},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31167683005332947},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.30891966819763184},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2840530276298523},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2136569321155548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14102590084075928}],"concepts":[{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6501837968826294},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.602649986743927},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5446311235427856},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5301141738891602},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4779479503631592},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4752086102962494},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.44751760363578796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43730810284614563},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.41873496770858765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4169508218765259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32395151257514954},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31167683005332947},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.30891966819763184},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2840530276298523},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2136569321155548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14102590084075928},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/01423312231153258","is_oa":false,"landing_page_url":"https://doi.org/10.1177/01423312231153258","pdf_url":null,"source":{"id":"https://openalex.org/S24148485","display_name":"Transactions of the Institute of Measurement and Control","issn_l":"0142-3312","issn":["0142-3312","1477-0369"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Institute of Measurement and Control","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:196868","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G4413641617","display_name":null,"funder_award_id":"2022JJ50074","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G5507548493","display_name":null,"funder_award_id":"62033014","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1985505861","https://openalex.org/W2000982976","https://openalex.org/W2041436074","https://openalex.org/W2113238782","https://openalex.org/W2142809749","https://openalex.org/W2147094811","https://openalex.org/W2231409555","https://openalex.org/W2508187212","https://openalex.org/W2784125831","https://openalex.org/W2802770308","https://openalex.org/W2804510834","https://openalex.org/W2904016210","https://openalex.org/W2906643369","https://openalex.org/W2919607942","https://openalex.org/W2941999593","https://openalex.org/W2946155684","https://openalex.org/W2959239573","https://openalex.org/W2973960501","https://openalex.org/W2980659048","https://openalex.org/W2981840557","https://openalex.org/W2983687539","https://openalex.org/W2990570263","https://openalex.org/W2997464701","https://openalex.org/W3008244228","https://openalex.org/W3034183275","https://openalex.org/W3044436817","https://openalex.org/W3130826541","https://openalex.org/W3136021759","https://openalex.org/W3158610431","https://openalex.org/W3184266411","https://openalex.org/W4220802660"],"related_works":["https://openalex.org/W2122277321","https://openalex.org/W4380482219","https://openalex.org/W4377969695","https://openalex.org/W2382231800","https://openalex.org/W2650781048","https://openalex.org/W2538830880","https://openalex.org/W2028780417","https://openalex.org/W2350302603","https://openalex.org/W2134202645","https://openalex.org/W2394871888"],"abstract_inverted_index":{"To":[0],"reduce":[1],"the":[2,5,44,50,94,98,102,129,136,144,153,157],"influence":[3],"of":[4,101,110,118,120,135,156,164],"random":[6],"fluctuation":[7],"on":[8,20,43],"wind":[9,15,51,87,111,165],"power":[10,16,52,88,112],"prediction,":[11],"a":[12],"new":[13],"ultra-short-term":[14],"prediction":[17,80,138,163],"model,":[18],"based":[19,42],"wavelet":[21],"decomposition":[22,26,46],"(WD),":[23],"variational":[24],"mode":[25],"(VMD),":[27],"and":[28,47,60,76,90],"least-squares":[29],"support":[30],"vector":[31],"machine":[32],"(LSSVM),":[33],"is":[34,41,54,140,143],"proposed":[35,158],"in":[36],"this":[37],"paper.":[38],"The":[39,106,124],"method":[40],"double":[45],"LSSVM,":[48],"where":[49],"sequence":[53],"decomposed":[55,66],"by":[56,67,115],"WD":[57],"into":[58],"low-":[59],"high-frequency":[61],"components,":[62],"which":[63,142],"are":[64,82,113],"further":[65],"VMD":[68],"to":[69,96],"obtain":[70,97],"many":[71],"modal":[72,104],"components":[73],"with":[74,85,147],"tendency":[75],"periodicity.":[77],"Multiple":[78],"LSSVM":[79,122],"models":[81],"then":[83],"established":[84],"historical":[86],"data":[89,92,116],"weather":[91],"as":[93],"inputs":[95],"predicted":[99,108],"values":[100,109],"multiple":[103],"components.":[105],"final":[107],"achieved":[114],"fusion":[117],"outputs":[119],"these":[121],"models.":[123,150],"experimental":[125],"results":[126],"show":[127],"that":[128],"MAPE":[130],"(mean":[131],"absolute":[132],"percentage":[133],"error)":[134],"combined":[137],"model":[139,160],"4.66%,":[141],"best":[145],"compared":[146],"nine":[148],"benchmark":[149],"This":[151],"demonstrates":[152],"high":[154],"performance":[155],"WD-VMD-LSSVM":[159],"for":[161],"short-term":[162],"power.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}