{"id":"https://openalex.org/W2991153832","doi":"https://doi.org/10.1177/0959651819887261","title":"Forecast of short-term wind power based on a novel hybrid method","display_name":"Forecast of short-term wind power based on a novel hybrid method","publication_year":2019,"publication_date":"2019-11-20","ids":{"openalex":"https://openalex.org/W2991153832","doi":"https://doi.org/10.1177/0959651819887261","mag":"2991153832"},"language":"en","primary_location":{"id":"doi:10.1177/0959651819887261","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0959651819887261","pdf_url":null,"source":{"id":"https://openalex.org/S4210196624","display_name":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","issn_l":"0959-6518","issn":["0959-6518","2041-3041"],"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":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","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/A5037083966","display_name":"Dinghui Wu","orcid":"https://orcid.org/0000-0003-4817-3149"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dinghui Wu","raw_affiliation_strings":["Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haibo Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Huang","raw_affiliation_strings":["Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114003803","display_name":"Ren Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren Xiao","raw_affiliation_strings":["Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065727015","display_name":"Cong Gao","orcid":"https://orcid.org/0000-0001-8505-2026"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Gao","raw_affiliation_strings":["Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037083966"],"corresponding_institution_ids":["https://openalex.org/I111599522"],"apc_list":null,"apc_paid":null,"fwci":0.1168,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.4745246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"234","issue":"8","first_page":"937","last_page":"947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"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":1.0,"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/T12368","display_name":"Grey System Theory Applications","score":0.9944999814033508,"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"}},{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9771000146865845,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7196186184883118},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.6231099367141724},{"id":"https://openalex.org/keywords/lyapunov-exponent","display_name":"Lyapunov exponent","score":0.5681331753730774},{"id":"https://openalex.org/keywords/wind-power-forecasting","display_name":"Wind power forecasting","score":0.5254266262054443},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5155501365661621},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5139335989952087},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5099021196365356},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4998281002044678},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.4455839693546295},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.43855178356170654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.435861200094223},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42573580145835876},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3954077363014221},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3535105884075165},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2540975511074066},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2501399517059326},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.153061181306839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15300002694129944},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13340872526168823},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06690439581871033},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06524014472961426}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7196186184883118},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6231099367141724},{"id":"https://openalex.org/C191544260","wikidata":"https://www.wikidata.org/wiki/Q1238630","display_name":"Lyapunov exponent","level":3,"score":0.5681331753730774},{"id":"https://openalex.org/C2781084341","wikidata":"https://www.wikidata.org/wiki/Q2583670","display_name":"Wind power forecasting","level":4,"score":0.5254266262054443},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5155501365661621},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5139335989952087},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5099021196365356},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4998281002044678},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.4455839693546295},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.43855178356170654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.435861200094223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42573580145835876},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3954077363014221},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3535105884075165},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2540975511074066},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2501399517059326},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.153061181306839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15300002694129944},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13340872526168823},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06690439581871033},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06524014472961426},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0959651819887261","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0959651819887261","pdf_url":null,"source":{"id":"https://openalex.org/S4210196624","display_name":"Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering","issn_l":"0959-6518","issn":["0959-6518","2041-3041"],"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":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.9200000166893005}],"awards":[{"id":"https://openalex.org/G1622826827","display_name":"\u57fa\u4e8e\u591a\u6e90\u5f02\u6784\u5927\u6570\u636e\u7684\u98ce\u7535\u673a\u7ec4\u672c\u5f81\u6316\u6398\u4e0e\u72b6\u6001\u5f02\u5e38\u8fa8\u8bc6\u7814\u7a76","funder_award_id":"61572237","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G497875958","display_name":"\u57fa\u4e8e\u5927\u6570\u636e\u7684\u5fae\u7f51\u7cfb\u7edf\u591a\u76ee\u6807\u534f\u540c\u4f18\u5316\u8fd0\u884c\u7b56\u7565\u7814\u7a76","funder_award_id":"61672266","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1654820164","https://openalex.org/W1968378534","https://openalex.org/W1980477020","https://openalex.org/W2016752668","https://openalex.org/W2024692966","https://openalex.org/W2043053384","https://openalex.org/W2061885427","https://openalex.org/W2076406292","https://openalex.org/W2084349912","https://openalex.org/W2127925682","https://openalex.org/W2134383471","https://openalex.org/W2136907672","https://openalex.org/W2137720264","https://openalex.org/W2143703772","https://openalex.org/W2152254020","https://openalex.org/W2159878099","https://openalex.org/W2231409555","https://openalex.org/W2275865104","https://openalex.org/W2287571625","https://openalex.org/W2294198843","https://openalex.org/W2327604715","https://openalex.org/W2340896543","https://openalex.org/W2549214395","https://openalex.org/W2560370080","https://openalex.org/W2566003805","https://openalex.org/W2606817745","https://openalex.org/W2963702394","https://openalex.org/W4200503332"],"related_works":["https://openalex.org/W2734371262","https://openalex.org/W2163833378","https://openalex.org/W2060606400","https://openalex.org/W2048340369","https://openalex.org/W2068429636","https://openalex.org/W2000878957","https://openalex.org/W2280517594","https://openalex.org/W4385336415","https://openalex.org/W2899548144","https://openalex.org/W4226267545"],"abstract_inverted_index":{"Short-term":[0],"wind":[1,32,56,118,140,153],"power":[2,9,15,33,57,119,154],"forecasting":[3,120,155],"plays":[4],"an":[5,138],"important":[6],"role":[7],"in":[8,137,149],"generation,":[10],"because":[11],"it":[12],"prevents":[13],"the":[14,37,52,55,60,70,79,89,111,117,123,126,144,151,164,172,188,198],"system":[16],"operation":[17],"from":[18,122],"its":[19,93],"uncertain":[20],"and":[21,46,62,72,95,129,181,197],"intermittent":[22],"nature.":[23],"This":[24],"article":[25],"proposes":[26],"a":[27],"novel":[28],"method":[29,102,146,166],"for":[30],"short-term":[31,152],"forecasting,":[34],"which":[35,68,109],"combines":[36],"wavelet":[38,66],"transform,":[39,67],"particle":[40,81],"swarm":[41,82],"optimization":[42,83],"dynamic":[43,84],"gray":[44,85],"model":[45,86],"Lyapunov":[47,99],"exponent":[48,100],"prediction":[49,101,169],"method.":[50],"First,":[51],"approach":[53],"decomposes":[54],"curve":[58,91],"into":[59],"high-frequency":[61,107],"low-frequency":[63,90],"curves":[64],"by":[65],"represent":[69],"detail":[71],"tendency":[73],"signals,":[74],"respectively.":[75],"Then,":[76],"we":[77,115],"use":[78],"proposed":[80,145],"to":[87,105],"forecast":[88],"with":[92,187],"smooth":[94],"periodic":[96],"outline.":[97],"Moreover,":[98],"is":[103,147,195,204],"used":[104],"predict":[106],"curves,":[108],"possess":[110],"chaos":[112],"characteristics.":[113],"Finally,":[114],"obtain":[116],"result":[121],"combination":[124],"of":[125,134],"predicted":[127],"low":[128],"high":[130],"frequencies.":[131],"The":[132,157],"experiment":[133],"four":[135,207],"seasons":[136],"US":[139],"farm":[141],"validates":[142],"that":[143,163],"effective":[148],"solving":[150],"problem.":[156],"obtained":[158],"results,":[159],"discussed":[160],"comprehensively,":[161],"show":[162],"hybrid":[165],"has":[167],"better":[168],"accuracy":[170],"than":[171],"other":[173],"methods,":[174],"such":[175],"as":[176],"artificial":[177],"neural":[178],"network,":[179],"persistence,":[180],"autoregressive":[182],"integrated":[183],"moving":[184],"average":[185,190,199],"model,":[186],"lowest":[189],"mean":[191,201],"absolute":[192],"percentage":[193],"error":[194,203],"8.07%":[196],"root":[200],"square":[202],"0.8164":[205],"over":[206],"seasons.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
