{"id":"https://openalex.org/W3119316536","doi":"https://doi.org/10.1109/icarcv50220.2020.9305351","title":"A robust decomposition-ensemble framework for wind speed forecasting","display_name":"A robust decomposition-ensemble framework for wind speed forecasting","publication_year":2020,"publication_date":"2020-12-13","ids":{"openalex":"https://openalex.org/W3119316536","doi":"https://doi.org/10.1109/icarcv50220.2020.9305351","mag":"3119316536"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv50220.2020.9305351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv50220.2020.9305351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-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/A5043942425","display_name":"Bingquan Zhang","orcid":"https://orcid.org/0000-0003-3129-1851"},"institutions":[{"id":"https://openalex.org/I4210126257","display_name":"CRRC (China)","ror":"https://ror.org/033g21894","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126257"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bingquan Zhang","raw_affiliation_strings":["CRRC Wind Power (Shandong) Co., Ltd., Jinnan, China"],"affiliations":[{"raw_affiliation_string":"CRRC Wind Power (Shandong) Co., Ltd., Jinnan, China","institution_ids":["https://openalex.org/I4210126257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397492","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-0589-5355"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001647983","display_name":"Dengli Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126257","display_name":"CRRC (China)","ror":"https://ror.org/033g21894","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210126257"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengli Zhao","raw_affiliation_strings":["CRRC Wind Power (Shandong) Co., Ltd., Jinnan, China"],"affiliations":[{"raw_affiliation_string":"CRRC Wind Power (Shandong) Co., Ltd., Jinnan, China","institution_ids":["https://openalex.org/I4210126257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044575556","display_name":"Jinran Wu","orcid":"https://orcid.org/0000-0002-2388-3614"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jinran Wu","raw_affiliation_strings":["Queensland University of Technology, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043942425"],"corresponding_institution_ids":["https://openalex.org/I4210126257"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14938721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"4"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9947999715805054,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7013270854949951},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6924413442611694},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.680508017539978},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6786243915557861},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.6389859914779663},{"id":"https://openalex.org/keywords/wind-power-forecasting","display_name":"Wind power forecasting","score":0.5469751954078674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48268818855285645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4755111336708069},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4575809836387634},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.3193456530570984},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.23065990209579468},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18839162588119507},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1714046597480774},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.13518235087394714}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7013270854949951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6924413442611694},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.680508017539978},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6786243915557861},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6389859914779663},{"id":"https://openalex.org/C2781084341","wikidata":"https://www.wikidata.org/wiki/Q2583670","display_name":"Wind power forecasting","level":4,"score":0.5469751954078674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48268818855285645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4755111336708069},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4575809836387634},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3193456530570984},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.23065990209579468},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18839162588119507},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1714046597480774},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.13518235087394714},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv50220.2020.9305351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv50220.2020.9305351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-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/G2956974309","display_name":null,"funder_award_id":"61873130","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4073620648","display_name":null,"funder_award_id":"1311","funder_id":"https://openalex.org/F4320323268","funder_display_name":"Nanjing University of Posts and Telecommunications"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1970978817","https://openalex.org/W2015544881","https://openalex.org/W2065742895","https://openalex.org/W2079522653","https://openalex.org/W2098395403","https://openalex.org/W2111072639","https://openalex.org/W2119133167","https://openalex.org/W2737654582","https://openalex.org/W2802437313","https://openalex.org/W2897453944","https://openalex.org/W2907876867","https://openalex.org/W3007317032","https://openalex.org/W3083284888"],"related_works":["https://openalex.org/W2067443264","https://openalex.org/W31566076","https://openalex.org/W4297902562","https://openalex.org/W2741186499","https://openalex.org/W1986096622","https://openalex.org/W2275865104","https://openalex.org/W2350683663","https://openalex.org/W2382051002","https://openalex.org/W2184455471","https://openalex.org/W1790870804"],"abstract_inverted_index":{"Accurate":[0],"forecasting":[1,88,97],"of":[2],"wind":[3,13,56,91],"speed":[4,14,92],"is":[5,16,52,68,80],"vital":[6],"in":[7,54,93],"renewable":[8],"power":[9],"system":[10,20],"management.":[11],"However,":[12],"series":[15],"an":[17],"extremely":[18],"complex":[19],"with":[21],"outliers.":[22],"Considering":[23],"the":[24,40,62],"dilemma,":[25],"we":[26],"propose":[27],"a":[28,35,49,89],"robust":[29,64],"extreme":[30,44,65,77],"learning":[31,45,66,78],"machine":[32,46,67,79],"algorithm":[33],"where":[34],"huber":[36],"loss":[37],"works":[38],"as":[39],"optimized":[41],"function":[42],"for":[43],"training.":[47],"And":[48],"decomposition-ensemble":[50],"method":[51],"developed":[53],"modelling":[55],"speed.":[57],"In":[58],"our":[59,95],"hybrid":[60],"system,":[61],"proposed":[63,96],"employed":[69],"to":[70,82],"model":[71,83],"high-frequent":[72],"sub-signals,":[73],"while":[74],"least":[75],"square":[76],"used":[81],"low-frequent":[84],"sub-signals.":[85],"Validated":[86],"by":[87],"5-minutely":[90],"China,":[94],"framework":[98],"can":[99],"provide":[100],"more":[101],"accurate":[102],"predictions.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}