{"id":"https://openalex.org/W2000878957","doi":"https://doi.org/10.1109/tsg.2013.2283269","title":"Hybrid Forecasting Model for Very-Short Term Wind Power Forecasting Based on Grey Relational Analysis and Wind Speed Distribution Features","display_name":"Hybrid Forecasting Model for Very-Short Term Wind Power Forecasting Based on Grey Relational Analysis and Wind Speed Distribution Features","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2000878957","doi":"https://doi.org/10.1109/tsg.2013.2283269","mag":"2000878957"},"language":"en","primary_location":{"id":"doi:10.1109/tsg.2013.2283269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2013.2283269","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-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/A5060102245","display_name":"Jie Shi","orcid":"https://orcid.org/0000-0003-3182-7193"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Shi","raw_affiliation_strings":["Beijing Information Science and Technology University, Beijing, China","Beijing Information Science and Technology University,Beijing,CHINA"],"affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]},{"raw_affiliation_string":"Beijing Information Science and Technology University,Beijing,CHINA","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050395122","display_name":"Zhaohao Ding","orcid":"https://orcid.org/0000-0002-7085-260X"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhaohao Ding","raw_affiliation_strings":["Energy Systems Research Center, University of Texas at Arlington, Arlington, TX, USA","[Energy Systems Research Center, Univ. of Texas at Arlington, Arlington, TX, USA]"],"affiliations":[{"raw_affiliation_string":"Energy Systems Research Center, University of Texas at Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"[Energy Systems Research Center, Univ. of Texas at Arlington, Arlington, TX, USA]","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067950969","display_name":"Wei\u2010Jen Lee","orcid":"https://orcid.org/0000-0001-7774-468X"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Jen Lee","raw_affiliation_strings":["Energy Systems Research Center, University of Texas at Arlington, Arlington, TX, USA","[Energy Systems Research Center, Univ. of Texas at Arlington, Arlington, TX, USA]"],"affiliations":[{"raw_affiliation_string":"Energy Systems Research Center, University of Texas at Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"[Energy Systems Research Center, Univ. of Texas at Arlington, Arlington, TX, USA]","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000920700","display_name":"Yongping Yang","orcid":"https://orcid.org/0000-0002-8468-8476"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongping Yang","raw_affiliation_strings":["State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China","State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050847582","display_name":"Yongqian Liu","orcid":"https://orcid.org/0000-0002-6874-4351"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqian Liu","raw_affiliation_strings":["State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China","State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381693","display_name":"Mingming Zhang","orcid":"https://orcid.org/0000-0001-8480-0280"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingming Zhang","raw_affiliation_strings":["China Southern Power Grid, Electric Power Research Institute, Guangzhou, China","[Electr. Power Res. Inst., China Southern Power Grid, Guangzhou, China]"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid, Electric Power Research Institute, Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]},{"raw_affiliation_string":"[Electr. Power Res. Inst., China Southern Power Grid, Guangzhou, China]","institution_ids":["https://openalex.org/I74872605"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060102245"],"corresponding_institution_ids":["https://openalex.org/I78675632"],"apc_list":null,"apc_paid":null,"fwci":7.8619,"has_fulltext":false,"cited_by_count":187,"citation_normalized_percentile":{"value":0.97816323,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"5","issue":"1","first_page":"521","last_page":"526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9997000098228455,"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":0.9997000098228455,"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/T12368","display_name":"Grey System Theory Applications","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12451","display_name":"Smart Grid and Power Systems","score":0.9466999769210815,"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/wind-power-forecasting","display_name":"Wind power forecasting","score":0.8524410724639893},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.7727797627449036},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.730331540107727},{"id":"https://openalex.org/keywords/grey-relational-analysis","display_name":"Grey relational analysis","score":0.6865814328193665},{"id":"https://openalex.org/keywords/volatility","display_name":"Volatility (finance)","score":0.6413854956626892},{"id":"https://openalex.org/keywords/probabilistic-forecasting","display_name":"Probabilistic forecasting","score":0.6276044845581055},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5245380997657776},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.45774075388908386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4563787877559662},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.4417071044445038},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.42155951261520386},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.38600462675094604},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.31529420614242554},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2530035972595215},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.18202191591262817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15926846861839294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14575979113578796},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13172456622123718},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10326087474822998},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1021614670753479},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.06606736779212952}],"concepts":[{"id":"https://openalex.org/C2781084341","wikidata":"https://www.wikidata.org/wiki/Q2583670","display_name":"Wind power forecasting","level":4,"score":0.8524410724639893},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.7727797627449036},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.730331540107727},{"id":"https://openalex.org/C64734493","wikidata":"https://www.wikidata.org/wiki/Q5608296","display_name":"Grey relational analysis","level":2,"score":0.6865814328193665},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.6413854956626892},{"id":"https://openalex.org/C122282355","wikidata":"https://www.wikidata.org/wiki/Q7246855","display_name":"Probabilistic forecasting","level":3,"score":0.6276044845581055},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5245380997657776},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.45774075388908386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4563787877559662},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.4417071044445038},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.42155951261520386},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.38600462675094604},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.31529420614242554},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2530035972595215},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.18202191591262817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15926846861839294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14575979113578796},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13172456622123718},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10326087474822998},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1021614670753479},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.06606736779212952},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/tsg.2013.2283269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsg.2013.2283269","pdf_url":null,"source":{"id":"https://openalex.org/S59604973","display_name":"IEEE Transactions on Smart Grid","issn_l":"1949-3053","issn":["1949-3053","1949-3061"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Smart Grid","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1977653081","https://openalex.org/W1980470865","https://openalex.org/W1995311359","https://openalex.org/W2002093078","https://openalex.org/W2015303864","https://openalex.org/W2050038283","https://openalex.org/W2051006518","https://openalex.org/W2125708950","https://openalex.org/W2126328815","https://openalex.org/W2138822187","https://openalex.org/W2141481151","https://openalex.org/W2151399140","https://openalex.org/W2151848442","https://openalex.org/W2350162592","https://openalex.org/W6654198386","https://openalex.org/W6680683895","https://openalex.org/W6681164061"],"related_works":["https://openalex.org/W3125211436","https://openalex.org/W3133386668","https://openalex.org/W2321107782","https://openalex.org/W2560099312","https://openalex.org/W2613711905","https://openalex.org/W3089638729","https://openalex.org/W2951404337","https://openalex.org/W2312482938","https://openalex.org/W2114471530","https://openalex.org/W4387005524"],"abstract_inverted_index":{"Very-short":[0],"term":[1,95],"wind":[2,21,35,58,73,78,97],"power":[3,22,36,98],"forecasting":[4,37,44,88],"is":[5,49,68],"one":[6],"of":[7,17,20,41,53,64],"the":[8,15,24,86],"most":[9],"effective":[10],"ways":[11],"to":[12,28,71],"deal":[13],"with":[14],"challenges":[16],"increased":[18],"penetration":[19],"into":[23],"electric":[25],"grid":[26],"due":[27],"its":[29],"fluctuation":[30],"and":[31,57,76],"volatility.":[32],"To":[33],"improve":[34],"by":[38,51],"taking":[39],"advantage":[40],"each":[42,65],"independent":[43,66],"model,":[45],"a":[46],"hybrid":[47,87],"model":[48,67,89],"proposed":[50],"means":[52],"grey":[54],"relational":[55],"analysis":[56],"speed":[59,74,79],"distribution":[60],"features.":[61],"The":[62,81],"weight":[63],"estimated":[69],"according":[70],"different":[72],"subsection":[75],"similar":[77],"frequency.":[80],"case":[82],"study":[83],"shows":[84],"that":[85],"has":[90],"broader":[91],"applications":[92],"in":[93],"very-short":[94],"(15-minute-ahead)":[96],"output":[99],"forecasting.":[100]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}
