{"id":"https://openalex.org/W7124745881","doi":"https://doi.org/10.1186/s42162-026-00630-z","title":"A hybrid SVMD-RIME-TCN-BiGRU model for wind power prediction","display_name":"A hybrid SVMD-RIME-TCN-BiGRU model for wind power prediction","publication_year":2026,"publication_date":"2026-01-19","ids":{"openalex":"https://openalex.org/W7124745881","doi":"https://doi.org/10.1186/s42162-026-00630-z"},"language":"en","primary_location":{"id":"doi:10.1186/s42162-026-00630-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-026-00630-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s42162-026-00630-z.pdf","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s42162-026-00630-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123355211","display_name":"Kaikai Gu","orcid":null},"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":"Kaikai Gu","raw_affiliation_strings":["Wuhan NARI Limited Company of State Grid Electric Power Research Institute, Wuhan, 430074, China"],"affiliations":[{"raw_affiliation_string":"Wuhan NARI Limited Company of State Grid Electric Power Research Institute, Wuhan, 430074, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016783040","display_name":"Lei Cao","orcid":"https://orcid.org/0000-0002-4989-5189"},"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":"Lei Cao","raw_affiliation_strings":["Wuhan NARI Limited Company of State Grid Electric Power Research Institute, Wuhan, 430074, China"],"affiliations":[{"raw_affiliation_string":"Wuhan NARI Limited Company of State Grid Electric Power Research Institute, Wuhan, 430074, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102279381","display_name":"Jing Cao","orcid":null},"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":"Jing Cao","raw_affiliation_strings":["Material Company of State Grid Hubei Electric Power Co., Ltd. (State Grid Hubei Tendering Co., Ltd.), Wuhan, 430014, China"],"affiliations":[{"raw_affiliation_string":"Material Company of State Grid Hubei Electric Power Co., Ltd. (State Grid Hubei Tendering Co., Ltd.), Wuhan, 430014, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071631428","display_name":"Mu Li","orcid":"https://orcid.org/0000-0003-2052-5456"},"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":"Mu LI","raw_affiliation_strings":["Wuhan NARI Limited Company of State Grid Electric Power Research Institute, Wuhan, 430074, China"],"affiliations":[{"raw_affiliation_string":"Wuhan NARI Limited Company of State Grid Electric Power Research Institute, Wuhan, 430074, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090661599","display_name":"Hanchao Chen","orcid":null},"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":"Hanchao Chen","raw_affiliation_strings":["Wuhan NARI Limited Company of State Grid Electric Power Research Institute, Wuhan, 430074, China"],"affiliations":[{"raw_affiliation_string":"Wuhan NARI Limited Company of State Grid Electric Power Research Institute, Wuhan, 430074, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123292150","display_name":"Zhong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Wang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, 430068, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319988","display_name":"Sheng Liu","orcid":"https://orcid.org/0000-0001-5645-9679"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Liu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, 430068, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, 430068, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079094554","display_name":"Kefei Zhang","orcid":"https://orcid.org/0000-0001-9376-1148"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kefei Zhang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, 430068, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, 430068, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5079094554"],"corresponding_institution_ids":["https://openalex.org/I74525822"],"apc_list":{"value":790,"currency":"GBP","value_usd":969},"apc_paid":{"value":790,"currency":"GBP","value_usd":969},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18911334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9460999965667725,"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":0.9460999965667725,"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/T10740","display_name":"Wind Turbine Control Systems","score":0.01119999960064888,"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":0.006099999882280827,"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/mean-squared-error","display_name":"Mean squared error","score":0.5519999861717224},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5425999760627747},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5386000275611877},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5134999752044678},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.46000000834465027},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4544000029563904},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4514999985694885},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.43160000443458557},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4253999888896942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5964999794960022},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5519999861717224},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5425999760627747},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5386000275611877},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5134999752044678},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.46000000834465027},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4544000029563904},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4514999985694885},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.43160000443458557},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4106999933719635},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.392300009727478},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.32350000739097595},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3147999942302704},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.30480000376701355},{"id":"https://openalex.org/C86155754","wikidata":"https://www.wikidata.org/wiki/Q13636979","display_name":"Hybrid power","level":3,"score":0.3037000000476837},{"id":"https://openalex.org/C91602232","wikidata":"https://www.wikidata.org/wiki/Q756115","display_name":"Volatility (finance)","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28380000591278076},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28299999237060547},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C2781084341","wikidata":"https://www.wikidata.org/wiki/Q2583670","display_name":"Wind power forecasting","level":4,"score":0.27320000529289246},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s42162-026-00630-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-026-00630-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s42162-026-00630-z.pdf","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a9252baee3ba456585f23d38ee7a2446","is_oa":true,"landing_page_url":"https://doaj.org/article/a9252baee3ba456585f23d38ee7a2446","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Energy Informatics, Vol 9, Iss 1, Pp 1-25 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s42162-026-00630-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42162-026-00630-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s42162-026-00630-z.pdf","source":{"id":"https://openalex.org/S3035173479","display_name":"Energy Informatics","issn_l":"2520-8942","issn":["2520-8942"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energy Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9193671345710754}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7124745881.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W2000982976","https://openalex.org/W2007221293","https://openalex.org/W2019900743","https://openalex.org/W2061438946","https://openalex.org/W2064675550","https://openalex.org/W2125056386","https://openalex.org/W2152195021","https://openalex.org/W2157331557","https://openalex.org/W2165700458","https://openalex.org/W2194775991","https://openalex.org/W3020865293","https://openalex.org/W4221115832","https://openalex.org/W4320487090","https://openalex.org/W4383820077","https://openalex.org/W4386378856","https://openalex.org/W4386952009","https://openalex.org/W4391003117","https://openalex.org/W4393113483","https://openalex.org/W4399262711","https://openalex.org/W4399703808","https://openalex.org/W4402130151","https://openalex.org/W4402454528","https://openalex.org/W4402588883","https://openalex.org/W4408690672","https://openalex.org/W4414822815"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"short-term":[1],"wind":[2,23,116],"power":[3,9,171],"prediction":[4],"(WPP)":[5],"is":[6,42,86,97],"critical":[7],"for":[8,169],"system":[10],"stability":[11],"but":[12],"remains":[13],"challenging":[14],"due":[15],"to":[16,32,44,88,99,158],"the":[17,37,69,93,102,106,121,159,164],"inherent":[18],"non-linearity":[19],"and":[20,48,67,133,146,148,167],"volatility":[21],"of":[22,72,105,131,136],"series.":[24],"This":[25,162],"study":[26],"proposes":[27],"a":[28,76,114,125],"novel":[29],"framework,":[30],"SVMD-RIME-TCN-BiGRU,":[31],"address":[33],"these":[34],"challenges.":[35],"First,":[36],"Maximal":[38],"Information":[39],"Coefficient":[40],"(MIC)":[41],"used":[43],"select":[45],"high-correlation":[46],"features":[47],"eliminate":[49],"redundancy.":[50],"Second,":[51],"Successive":[52],"Variational":[53],"Mode":[54],"Decomposition":[55],"(SVMD)":[56],"decomposes":[57],"raw":[58],"data":[59],"into":[60],"successive":[61],"intrinsic":[62],"modes,":[63],"effectively":[64],"mitigating":[65],"non-stationarity":[66],"avoiding":[68,108],"mode-mixing":[70],"issues":[71],"traditional":[73],"methods.":[74],"Third,":[75],"hybrid":[77,150],"Temporal":[78],"Convolutional":[79],"Network-Bidirectional":[80],"Gated":[81],"Recurrent":[82],"Unit":[83],"(TCN-BiGRU)":[84],"model":[85,123],"constructed":[87],"extract":[89],"spatiotemporal":[90],"features.":[91],"Crucially,":[92],"RIME":[94],"optimization":[95],"algorithm":[96],"introduced":[98],"automatically":[100],"tune":[101],"key":[103],"hyperparameters":[104],"TCN-BiGRU,":[107],"local":[109],"optima.":[110],"Experimental":[111],"results":[112],"on":[113],"Xinjiang":[115],"farm":[117],"dataset":[118],"demonstrate":[119],"that":[120],"proposed":[122],"achieves":[124],"Root":[126],"Mean":[127],"Square":[128],"Error":[129],"(RMSE)":[130],"7.6882":[132],"an":[134],"R\u00b2":[135],"0.9813.":[137],"It":[138],"significantly":[139],"outperforms":[140],"baseline":[141],"models":[142],"(including":[143],"LSTM,":[144],"TCN,":[145],"Transformer)":[147],"other":[149],"variants,":[151],"reducing":[152],"errors":[153],"by":[154],"over":[155],"38%":[156],"compared":[157],"TCN-BiGRU":[160],"baseline.":[161],"validates":[163],"framework\u2019s":[165],"reliability":[166],"accuracy":[168],"practical":[170],"dispatching.":[172]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2026-01-20T00:00:00"}
