{"id":"https://openalex.org/W1985147019","doi":"https://doi.org/10.1109/soli.2012.6273579","title":"Improvement of short-term forecast for wind speed","display_name":"Improvement of short-term forecast for wind speed","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1985147019","doi":"https://doi.org/10.1109/soli.2012.6273579","mag":"1985147019"},"language":"en","primary_location":{"id":"doi:10.1109/soli.2012.6273579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/soli.2012.6273579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics","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/A5060495018","display_name":"Xinxin Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinxin Bai","raw_affiliation_strings":["IBM Research China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052225802","display_name":"Shaocong Han","orcid":"https://orcid.org/0009-0009-0605-2542"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaocong Han","raw_affiliation_strings":["IBM Research China, Beijing, China","Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091671980","display_name":"Haifeng Wang","orcid":"https://orcid.org/0000-0002-8875-0003"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Wang","raw_affiliation_strings":["IBM Research China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110196535","display_name":"Wenjun Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Yin","raw_affiliation_strings":["IBM Research China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM Research China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110663735","display_name":"Rongfu Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rongfu Sun","raw_affiliation_strings":["LiBei Electric Power Company Limited, Beijing, China"],"affiliations":[{"raw_affiliation_string":"LiBei Electric Power Company Limited, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375826","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-6569-1709"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["North China Grid Company Limited, Beijing, China"],"affiliations":[{"raw_affiliation_string":"North China Grid Company Limited, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100678225","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0001-8762-2299"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["North China Grid Company Limited, Beijing, China"],"affiliations":[{"raw_affiliation_string":"North China Grid Company Limited, Beijing, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037663621","display_name":"Weimin Lei","orcid":"https://orcid.org/0000-0003-1877-7355"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weimin Lei","raw_affiliation_strings":["Zhangjiakou Wind and Solar Power Energy Demonstration, Station CompanyLimited State Grid Xin Yuan Company, China"],"affiliations":[{"raw_affiliation_string":"Zhangjiakou Wind and Solar Power Energy Demonstration, Station CompanyLimited State Grid Xin Yuan Company, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5060495018"],"corresponding_institution_ids":["https://openalex.org/I4210126794"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.059787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"451","last_page":"455"},"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/T10424","display_name":"Electric Power System Optimization","score":0.9700000286102295,"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":0.9700000286102295,"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/term","display_name":"Term (time)","score":0.7938859462738037},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.6922402381896973},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.6541515588760376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5677700042724609},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5337494611740112},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.5052409768104553},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47713160514831543},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4556758999824524},{"id":"https://openalex.org/keywords/long-term-prediction","display_name":"Long-term prediction","score":0.4224976599216461},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.256195604801178},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24056947231292725},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2045551836490631},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17745602130889893},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06593441963195801}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7938859462738037},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.6922402381896973},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6541515588760376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5677700042724609},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5337494611740112},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.5052409768104553},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47713160514831543},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4556758999824524},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.4224976599216461},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.256195604801178},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24056947231292725},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2045551836490631},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17745602130889893},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06593441963195801},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"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/soli.2012.6273579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/soli.2012.6273579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, and Informatics","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":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W78931549","https://openalex.org/W1983673304","https://openalex.org/W2050038283","https://openalex.org/W2051006518","https://openalex.org/W2060606400","https://openalex.org/W2066329667","https://openalex.org/W2074511771","https://openalex.org/W2106428138","https://openalex.org/W2118788550","https://openalex.org/W2125261166","https://openalex.org/W2125562318","https://openalex.org/W2135046866","https://openalex.org/W2162602792","https://openalex.org/W2165799067","https://openalex.org/W2169246145"],"related_works":["https://openalex.org/W2379320728","https://openalex.org/W63065332","https://openalex.org/W1990738922","https://openalex.org/W3093365844","https://openalex.org/W2983071886","https://openalex.org/W397719029","https://openalex.org/W2023538514","https://openalex.org/W4283650582","https://openalex.org/W1984715397","https://openalex.org/W4200124026"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"new":[4],"type":[5],"of":[6,57],"linear":[7,12,64],"regression":[8,13,65],"model":[9,15,27,49],"called":[10],"sparse":[11],"(SLR)":[14],"for":[16],"short-term":[17,59],"wind":[18,41],"speed":[19],"forecasting.":[20],"Modifications":[21],"are":[22,33,36],"applied":[23],"to":[24],"the":[25,55,58],"SLR":[26,48],"and":[28,50],"some":[29],"other":[30],"variant":[31],"models":[32],"proposed.":[34],"Experiments":[35],"carried":[37],"out":[38],"on":[39],"real":[40],"farm":[42],"history":[43],"recording":[44],"data.":[45],"Results":[46],"show":[47],"its":[51],"variants":[52],"can":[53],"improve":[54],"accuracy":[56],"forecasting":[60],"result":[61],"compared":[62],"with":[63],"model.":[66]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
