{"id":"https://openalex.org/W3110617580","doi":"https://doi.org/10.1155/2020/7854286","title":"An Advanced Hybrid Forecasting System for Wind Speed Point Forecasting and Interval Forecasting","display_name":"An Advanced Hybrid Forecasting System for Wind Speed Point Forecasting and Interval Forecasting","publication_year":2020,"publication_date":"2020-11-21","ids":{"openalex":"https://openalex.org/W3110617580","doi":"https://doi.org/10.1155/2020/7854286","mag":"3110617580"},"language":"en","primary_location":{"id":"doi:10.1155/2020/7854286","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/7854286","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/7854286.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2020/7854286.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100758737","display_name":"Haipeng Zhang","orcid":"https://orcid.org/0000-0002-4196-4098"},"institutions":[{"id":"https://openalex.org/I130480701","display_name":"Dongbei University of Finance and Economics","ror":"https://ror.org/05db1pj03","country_code":"CN","type":"education","lineage":["https://openalex.org/I130480701"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Zhang","raw_affiliation_strings":["School of Statistics, Dongbei University of Finance and Economics, Dalian 116025, China"],"affiliations":[{"raw_affiliation_string":"School of Statistics, Dongbei University of Finance and Economics, Dalian 116025, China","institution_ids":["https://openalex.org/I130480701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101490073","display_name":"Hua Luo","orcid":"https://orcid.org/0000-0002-6643-5299"},"institutions":[{"id":"https://openalex.org/I11406153","display_name":"Shanghai International Studies University","ror":"https://ror.org/01bn89z48","country_code":"CN","type":"education","lineage":["https://openalex.org/I11406153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hua Luo","raw_affiliation_strings":["School of Economics and Finance, Shanghai International Studies University, 1550 Wenxiang Road, Shanghai 201620, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Finance, Shanghai International Studies University, 1550 Wenxiang Road, Shanghai 201620, China","institution_ids":["https://openalex.org/I11406153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101490073"],"corresponding_institution_ids":["https://openalex.org/I11406153"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.3119,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58696705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"16"},"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/T10424","display_name":"Electric Power System Optimization","score":0.9941999912261963,"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/T10680","display_name":"Wind Energy Research and Development","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.7156373262405396},{"id":"https://openalex.org/keywords/wind-power-forecasting","display_name":"Wind power forecasting","score":0.6686952114105225},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5966482162475586},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.5928928852081299},{"id":"https://openalex.org/keywords/prediction-interval","display_name":"Prediction interval","score":0.5390104651451111},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.5011074542999268},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.48345550894737244},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4397992789745331},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.3947280943393707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3386922776699066},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2712556719779968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24353280663490295},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.22188109159469604},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.13473033905029297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11434563994407654},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09538871049880981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156373262405396},{"id":"https://openalex.org/C2781084341","wikidata":"https://www.wikidata.org/wiki/Q2583670","display_name":"Wind power forecasting","level":4,"score":0.6686952114105225},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5966482162475586},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.5928928852081299},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.5390104651451111},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.5011074542999268},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.48345550894737244},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4397992789745331},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3947280943393707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3386922776699066},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2712556719779968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24353280663490295},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.22188109159469604},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.13473033905029297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11434563994407654},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09538871049880981},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2020/7854286","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/7854286","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/7854286.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:7854286","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2020/7854286.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:3330c8415852482b81751b353787c560","is_oa":true,"landing_page_url":"https://doaj.org/article/3330c8415852482b81751b353787c560","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/7854286","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/7854286","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/7854286.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","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/G1720666413","display_name":null,"funder_award_id":"20YJA790049","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G4882526304","display_name":null,"funder_award_id":"2019-MS-109","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G5027355807","display_name":null,"funder_award_id":"20YJA790049","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G5531788707","display_name":null,"funder_award_id":"2019-MS-109","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"}],"funders":[{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3110617580.pdf","grobid_xml":"https://content.openalex.org/works/W3110617580.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1168959737","https://openalex.org/W1185746543","https://openalex.org/W1609962231","https://openalex.org/W1964886660","https://openalex.org/W1983965282","https://openalex.org/W1984061847","https://openalex.org/W1992178840","https://openalex.org/W1993398125","https://openalex.org/W1994170512","https://openalex.org/W1999218527","https://openalex.org/W2000982976","https://openalex.org/W2036681246","https://openalex.org/W2039238531","https://openalex.org/W2040317870","https://openalex.org/W2064675550","https://openalex.org/W2073004501","https://openalex.org/W2132477882","https://openalex.org/W2294198843","https://openalex.org/W2606817745","https://openalex.org/W2790834859","https://openalex.org/W2915806950","https://openalex.org/W2920910579","https://openalex.org/W2922089800","https://openalex.org/W2983772465","https://openalex.org/W2989725176","https://openalex.org/W2996644132","https://openalex.org/W3000853296","https://openalex.org/W3008374699","https://openalex.org/W3017023143","https://openalex.org/W3046160224","https://openalex.org/W4250639944"],"related_works":["https://openalex.org/W2885078783","https://openalex.org/W3125211436","https://openalex.org/W3133386668","https://openalex.org/W2321107782","https://openalex.org/W2804705402","https://openalex.org/W2275865104","https://openalex.org/W3209652703","https://openalex.org/W2312482938","https://openalex.org/W2613711905","https://openalex.org/W2356914003"],"abstract_inverted_index":{"Ultra-short-term":[0],"wind":[1,11,24,29,38,122,128],"speed":[2,39,123],"prediction":[3,65,74,88,108,172],"can":[4,94],"assist":[5,189],"the":[6,14,20,96,100,107,112,115,118,126,142,153,158,164,170],"operation":[7],"and":[8,17,33,86,104,120,145,156,174],"scheduling":[9],"of":[10,23,99,114,140,152,169],"turbines":[12],"in":[13,63,68,130,150],"short":[15],"term":[16],"further":[18,105],"reduce":[19],"adverse":[21],"effects":[22],"power":[25],"integration.":[26],"However,":[27],"as":[28],"is":[30,40],"irregular,":[31],"nonlinear,":[32],"nonstationary,":[34],"to":[35,183,188],"accurately":[36],"predict":[37],"a":[41,73,82],"difficult":[42],"task.":[43],"To":[44,110],"this":[45,69,180],"end,":[46],"researchers":[47],"have":[48],"made":[49],"many":[50],"attempts;":[51],"however,":[52],"they":[53],"often":[54],"use":[55],"only":[56],"point":[57,146],"forecasting":[58,92,102,116,144,147,154,181],"or":[59],"interval":[60,143],"forecasting,":[61],"resulting":[62],"imperfect":[64],"results.":[66],"Therefore,":[67,167],"paper,":[70],"we":[71,178],"developed":[72],"system":[75,93,160,182],"integrating":[76],"an":[77,185],"advanced":[78],"data":[79],"preprocessing":[80],"strategy,":[81],"novel":[83],"optimization":[84],"model,":[85],"multiple":[87],"algorithms.":[89],"This":[90],"combined":[91],"overcome":[95],"inherent":[97],"disadvantages":[98],"traditional":[101],"methods":[103],"improve":[106],"performance.":[109],"test":[111],"effectiveness":[113],"system,":[117],"10-min":[119],"one-hour":[121],"sequences":[124],"from":[125],"Sotavento":[127],"farm":[129],"Spain":[131],"were":[132],"applied":[133],"for":[134],"conducting":[135],"comparison":[136],"experiments.":[137],"The":[138],"results":[139],"both":[141],"indicated":[148],"that,":[149],"terms":[151],"capability":[155],"stability,":[157],"proposed":[159],"was":[161],"better":[162],"than":[163],"compared":[165],"models.":[166],"because":[168],"minimum":[171],"error":[173],"excellent":[175],"generalization":[176],"ability,":[177],"consider":[179],"be":[184],"effective":[186],"tool":[187],"smart":[190],"grid":[191],"programming.":[192]},"counts_by_year":[{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}