{"id":"https://openalex.org/W3213954455","doi":"https://doi.org/10.1109/icccnt51525.2021.9579564","title":"Performance Analysis of Machine Learning Techniques for Wind Speed Prediction","display_name":"Performance Analysis of Machine Learning Techniques for Wind Speed Prediction","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3213954455","doi":"https://doi.org/10.1109/icccnt51525.2021.9579564","mag":"3213954455"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5084418385","display_name":"Atif Irfan","orcid":null},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"A.S.M. Irfan","raw_affiliation_strings":["North South University, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"North South University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078058868","display_name":"Nur Hossain Bhuiyan","orcid":null},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Nur Hossain Bhuiyan","raw_affiliation_strings":["North South University, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"North South University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100754616","display_name":"Mehedi Hasan","orcid":"https://orcid.org/0000-0002-5767-6728"},"institutions":[{"id":"https://openalex.org/I91090688","display_name":"University of Science and Technology Chittagong","ror":"https://ror.org/00w9tx359","country_code":"BD","type":"education","lineage":["https://openalex.org/I91090688"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mehedi Hasan","raw_affiliation_strings":["University of Science and Technology Chittagong, Chattogram, Bangladesh"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Chittagong, Chattogram, Bangladesh","institution_ids":["https://openalex.org/I91090688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028344189","display_name":"Mohammad Monirujjaman Khan","orcid":"https://orcid.org/0000-0003-0779-8820"},"institutions":[{"id":"https://openalex.org/I157386601","display_name":"North South University","ror":"https://ror.org/05wdbfp45","country_code":"BD","type":"education","lineage":["https://openalex.org/I157386601"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mohammad Monirujjaman Khan","raw_affiliation_strings":["North South University, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"North South University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I157386601"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084418385"],"corresponding_institution_ids":["https://openalex.org/I157386601"],"apc_list":null,"apc_paid":null,"fwci":1.4038,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81492712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9912999868392944,"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/T10680","display_name":"Wind Energy Research and Development","score":0.9858999848365784,"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/wind-power","display_name":"Wind power","score":0.7419819831848145},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.7038594484329224},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6951131224632263},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6944730877876282},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.6877567768096924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6680306196212769},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.644761323928833},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6057676076889038},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45762690901756287},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4575693905353546},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.43409767746925354},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2536914348602295},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.19634827971458435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18224847316741943},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15317830443382263}],"concepts":[{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.7419819831848145},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.7038594484329224},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6951131224632263},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6944730877876282},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.6877567768096924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6680306196212769},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.644761323928833},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6057676076889038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45762690901756287},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4575693905353546},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.43409767746925354},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2536914348602295},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.19634827971458435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18224847316741943},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15317830443382263},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W52272080","https://openalex.org/W1808258884","https://openalex.org/W1987552279","https://openalex.org/W2048697945","https://openalex.org/W2088794999","https://openalex.org/W2113350326","https://openalex.org/W2143877583","https://openalex.org/W2288267222","https://openalex.org/W2318004685","https://openalex.org/W2891636266","https://openalex.org/W2911964244","https://openalex.org/W2914509025","https://openalex.org/W2916748707","https://openalex.org/W2922328627","https://openalex.org/W2945625898","https://openalex.org/W2999150322","https://openalex.org/W3000440908","https://openalex.org/W3023314443","https://openalex.org/W3097572646","https://openalex.org/W3123509265","https://openalex.org/W3125552895","https://openalex.org/W3127497277","https://openalex.org/W3138716692","https://openalex.org/W3141484177","https://openalex.org/W3150873894","https://openalex.org/W3157388072","https://openalex.org/W3159460128","https://openalex.org/W3159475950","https://openalex.org/W3160846816","https://openalex.org/W3203093140","https://openalex.org/W4236012099","https://openalex.org/W4256060553","https://openalex.org/W6602154366"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W4386690025","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856"],"abstract_inverted_index":{"One":[0],"of":[1,14,32,50,84,111,120,127],"the":[2,12,37,48,82,107,118,128],"most":[3,129],"potential":[4],"energy":[5,13],"sources":[6],"in":[7],"this":[8,46,105],"current":[9],"world":[10],"is":[11,42,125],"wind.":[15],"It":[16],"has":[17,74],"several":[18],"advantages":[19],"like":[20],"its":[21],"renewability,":[22],"cost":[23],"effectiveness":[24,49],"and":[25,98,109],"sustainability":[26],"make":[27],"it":[28],"a":[29],"great":[30],"source":[31],"energy.":[33],"But,":[34],"to":[35],"predict":[36],"power":[38,78,134],"generation":[39],"from":[40],"wind":[41,71,122,133],"complex":[43],"process.":[44],"In":[45,104],"paper,":[47,106],"four":[51],"machine":[52],"learning":[53],"algorithms:":[54],"random":[55],"forest":[56],"regressor,":[57,60,63],"decision":[58],"tree":[59],"gradient":[61],"boosting":[62],"voting":[64],"regressors":[65],"have":[66,101,114],"been":[67,102,115],"used":[68],"for":[69,117,132],"predicting":[70,121],"speed,":[72],"which":[73,124],"direct":[75],"co-relation":[76],"with":[77],"production.":[79],"For":[80],"measuring":[81],"accuracy":[83,110],"these":[85],"models":[86],"three":[87],"standard":[88],"criteria":[89],"namely":[90],"mean":[91,95],"square":[92,96],"error,":[93],"root":[94],"error":[97],"R":[99],"squared":[100],"used.":[103],"performance":[108],"those":[112],"algorithms":[113],"analyzed":[116],"purpose":[119],"speed":[123],"one":[126],"important":[130],"factors":[131],"utilization.":[135]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}