{"id":"https://openalex.org/W3209169461","doi":"https://doi.org/10.1109/ccece53047.2021.9569134","title":"Very Short-Term Wind Speed Prediction Techniques Using Machine Learning","display_name":"Very Short-Term Wind Speed Prediction Techniques Using Machine Learning","publication_year":2021,"publication_date":"2021-09-12","ids":{"openalex":"https://openalex.org/W3209169461","doi":"https://doi.org/10.1109/ccece53047.2021.9569134","mag":"3209169461"},"language":"en","primary_location":{"id":"doi:10.1109/ccece53047.2021.9569134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece53047.2021.9569134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","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/A5035156573","display_name":"Aman Samson Mogos","orcid":"https://orcid.org/0000-0003-3534-1246"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Aman Samson Mogos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048239122","display_name":"Md Salauddin","orcid":null},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Md. Salauddin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031637653","display_name":"Xiaodong Liang","orcid":"https://orcid.org/0000-0002-8089-5419"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaodong Liang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada","institution_ids":["https://openalex.org/I32625721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083554304","display_name":"C. Y. Chung","orcid":"https://orcid.org/0000-0001-6607-2240"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chi Yung Chung","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada","institution_ids":["https://openalex.org/I32625721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035156573"],"corresponding_institution_ids":["https://openalex.org/I32625721"],"apc_list":null,"apc_paid":null,"fwci":0.2005,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51658262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"6"},"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/T10680","display_name":"Wind Energy Research and Development","score":0.9889000058174133,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9847000241279602,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.7499505281448364},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.7422458529472351},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7325323820114136},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.590986430644989},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.5441287159919739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5291566848754883},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.521632969379425},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.48722925782203674},{"id":"https://openalex.org/keywords/prediction-interval","display_name":"Prediction interval","score":0.480537474155426},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.47935229539871216},{"id":"https://openalex.org/keywords/moving-average","display_name":"Moving average","score":0.4516720473766327},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.44766002893447876},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4407663643360138},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4175831973552704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3373661935329437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3141292333602905},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.26667773723602295},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11884811520576477}],"concepts":[{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.7499505281448364},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.7422458529472351},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7325323820114136},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.590986430644989},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5441287159919739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5291566848754883},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.521632969379425},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.48722925782203674},{"id":"https://openalex.org/C103402496","wikidata":"https://www.wikidata.org/wiki/Q1106171","display_name":"Prediction interval","level":2,"score":0.480537474155426},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.47935229539871216},{"id":"https://openalex.org/C175706884","wikidata":"https://www.wikidata.org/wiki/Q1130194","display_name":"Moving average","level":2,"score":0.4516720473766327},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.44766002893447876},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4407663643360138},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4175831973552704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3373661935329437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3141292333602905},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.26667773723602295},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11884811520576477},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece53047.2021.9569134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece53047.2021.9569134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1589513345","https://openalex.org/W1985255373","https://openalex.org/W1997369014","https://openalex.org/W2044051645","https://openalex.org/W2096123611","https://openalex.org/W2101234009","https://openalex.org/W2103496339","https://openalex.org/W2113350326","https://openalex.org/W2120457925","https://openalex.org/W2124612225","https://openalex.org/W2136755510","https://openalex.org/W2150789019","https://openalex.org/W2413629930","https://openalex.org/W2468933515","https://openalex.org/W2784125831","https://openalex.org/W2884421387","https://openalex.org/W2911964244","https://openalex.org/W2996058680","https://openalex.org/W3093801741","https://openalex.org/W3182706339","https://openalex.org/W4229542377","https://openalex.org/W4248439738","https://openalex.org/W4251572646","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W3121369812","https://openalex.org/W3178576217","https://openalex.org/W4316658904","https://openalex.org/W4304606463","https://openalex.org/W2136152605","https://openalex.org/W2933969434","https://openalex.org/W4291801331","https://openalex.org/W4200374151","https://openalex.org/W2625413331","https://openalex.org/W4293868562"],"abstract_inverted_index":{"Wind":[0,30],"speed":[1,18,31],"prediction":[2,19,156],"plays":[3],"an":[4],"essential":[5],"role":[6],"in":[7],"planning":[8],"and":[9,23,36,77,109,116,142],"operation":[10],"of":[11,28,92,132,140,158],"wind":[12,17,56,59,86],"power":[13],"systems.":[14],"An":[15],"accurate":[16],"can":[20],"reduce":[21],"costs":[22],"enhance":[24],"the":[25,75,154],"proper":[26],"use":[27],"resources.":[29],"series":[32],"have":[33,48],"high":[34],"nonlinearity":[35],"volatility.":[37],"In":[38],"this":[39],"paper,":[40],"data-driven":[41],"models":[42],"using":[43],"machine":[44],"learning":[45],"(ML)":[46],"algorithms":[47,95],"been":[49],"developed":[50],"to":[51,63,73,80],"predict":[52,74],"a":[53],"very":[54],"short-term":[55],"speed.":[57,87],"Historical":[58],"speeds":[60],"lagging":[61],"up":[62],"20":[64],"minutes":[65,82],"with":[66,83],"1":[67],"minute":[68],"time":[69],"interval":[70],"are":[71],"used":[72],"current":[76],"future":[78],"(up":[79],"5":[81],"L-minnte":[84],"interval)":[85],"A":[88],"performance":[89],"comparative":[90],"analysis":[91],"four":[93],"ML":[94],"including":[96],"Multiple-Layer":[97],"Perception":[98],"Regressor":[99,103,107,112],"(MLPR),":[100],"Random":[101],"Forest":[102],"(RFR),":[104],"K-nearest":[105],"Neighbors":[106],"(KNNR),":[108],"Decision":[110],"Tree":[111],"(DTR),":[113],"is":[114,119,149],"conducted,":[115],"their":[117,122],"accuracy":[118,157],"evaluated":[120],"by":[121],"R2":[123],"values,":[124],"mean":[125,134,144],"absolute":[126,135],"error":[127,137,146],"(MAE),":[128],"standard":[129],"deviation":[130],"(SD)":[131],"MAE,":[133],"percentage":[136],"(MAPE),":[138],"SD":[139],"MAPE":[141],"root":[143],"square":[145],"(RMSE).":[147],"It":[148],"found":[150],"that":[151],"MLPR":[152],"gives":[153],"best":[155],"95.3%.":[159]},"counts_by_year":[{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
