{"id":"https://openalex.org/W7154626959","doi":"https://doi.org/10.1109/access.2026.3684455","title":"SCI: A Spectral Correlated-Variate Interaction Framework for Non-Stationary Time Series Forecasting","display_name":"SCI: A Spectral Correlated-Variate Interaction Framework for Non-Stationary Time Series Forecasting","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7154626959","doi":"https://doi.org/10.1109/access.2026.3684455"},"language":"en","primary_location":{"id":"doi:10.1109/access.2026.3684455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3684455","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2026.3684455","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133778824","display_name":"Xue Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Chen","raw_affiliation_strings":["School of Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, China","institution_ids":["https://openalex.org/I31637741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108427335","display_name":"Yican Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yican Feng","raw_affiliation_strings":["School of Economics, Beijing Technology and Business University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics, Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133741896","display_name":"Mingzhe Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I31637741","display_name":"Inner Mongolia University of Science and Technology","ror":"https://ror.org/044rgx723","country_code":"CN","type":"education","lineage":["https://openalex.org/I31637741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzhe Ma","raw_affiliation_strings":["School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Digital and Intelligent Industry, Inner Mongolia University of Science and Technology, Baotou, China","institution_ids":["https://openalex.org/I31637741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133824093","display_name":"Di Zeng","orcid":"https://orcid.org/0009-0002-5856-2025"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Di Zeng","raw_affiliation_strings":["Faculty of Science and Engineering, University of Bristol, Bristol, U.K"],"raw_orcid":"https://orcid.org/0009-0002-5856-2025","affiliations":[{"raw_affiliation_string":"Faculty of Science and Engineering, University of Bristol, Bristol, U.K","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41396574,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"63213","last_page":"63224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.6256999969482422,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.6256999969482422,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.07900000363588333,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.07050000131130219,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5932999849319458},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5224000215530396},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.31940001249313354},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral analysis","score":0.3158000111579895},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.2761000096797943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.638700008392334},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5932999849319458},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5224000215530396},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39089998602867126},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31709998846054077},{"id":"https://openalex.org/C2983668108","wikidata":"https://www.wikidata.org/wiki/Q280453","display_name":"Spectral analysis","level":3,"score":0.3158000111579895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2797999978065491},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2721000015735626},{"id":"https://openalex.org/C163068380","wikidata":"https://www.wikidata.org/wiki/Q3409313","display_name":"Economic forecasting","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C136272165","wikidata":"https://www.wikidata.org/wiki/Q4048889","display_name":"Singular spectrum analysis","level":3,"score":0.26589998602867126}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2026.3684455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3684455","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:02901d2791c4483da8b9b89953dcd659","is_oa":true,"landing_page_url":"https://doaj.org/article/02901d2791c4483da8b9b89953dcd659","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 14, Pp 63213-63224 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2026.3684455","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2026.3684455","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7168515920639038}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multivariate":[0],"time":[1],"series":[2,99],"forecasting":[3,84,205],"is":[4,28],"pivotal":[5],"in":[6],"real-world":[7],"applications,":[8],"ranging":[9],"from":[10,115,180],"energy":[11],"consumption":[12],"management":[13],"and":[14,23,45,59,152],"financial":[15],"market":[16],"trend":[17,174],"analysis":[18],"to":[19,77,96,117,128],"traffic":[20],"flow":[21],"prediction":[22],"climate":[24],"monitoring.":[25],"Yet,":[26],"it":[27],"critically":[29],"challenged":[30],"by":[31,135],"inherent":[32],"non-stationarity.":[33],"The":[34],"continuous":[35],"temporal":[36],"evolution":[37],"of":[38,157],"statistical":[39,147],"properties":[40],"drives":[41],"asynchronous":[42,124],"distributional":[43],"shifts":[44],"dynamic":[46],"inter-variate":[47],"dependencies.":[48],"Such":[49],"discrepancies":[50],"destabilize":[51],"cross-variate":[52],"correlation":[53],"modeling,":[54],"impede":[55],"robust":[56,106],"information":[57,132,175],"propagation,":[58],"frequently":[60],"induce":[61],"negative":[62],"transfer.":[63],"To":[64],"address":[65],"this,":[66],"we":[67,89,138],"propose":[68],"a":[69,105],"novel":[70],"framework,":[71],"Spectral":[72,92,141],"Correlated-variate":[73],"Interaction":[74],"(SCI),":[75],"designed":[76],"robustly":[78],"leverage":[79],"auxiliary":[80,116],"variates":[81,119],"for":[82],"enhanced":[83],"under":[85,198],"non-stationary":[86,125,131,158,199],"interference.":[87],"Specifically,":[88],"introduce":[90],"the":[91,98,101,140,154,162,169,194],"Auxiliary":[93],"Bridge":[94],"(SAB)":[95],"map":[97],"into":[100],"frequency":[102],"domain.":[103],"Through":[104],"interaction":[107,196],"mechanism,":[108],"SAB":[109],"explicitly":[110,150],"transfers":[111],"key":[112],"evolutionary":[113],"patterns":[114],"target":[118],"while":[120,176],"effectively":[121,192],"filtering":[122],"out":[123],"noise.":[126],"Concurrently,":[127],"recover":[129],"vital":[130],"typically":[133],"attenuated":[134],"standard":[136],"normalization,":[137],"design":[139],"Stationarity":[142],"Rectifier":[143],"(SSR).":[144],"Unlike":[145],"rigid":[146],"denormalization,":[148],"SSR":[149],"models":[151],"restores":[153],"evolving":[155],"trajectories":[156],"statistics":[159],"directly":[160],"within":[161],"latent":[163],"space.":[164],"This":[165],"synergy":[166],"ensures":[167],"that":[168,190],"final":[170],"predictions":[171],"retain":[172],"accurate":[173],"integrating":[177],"purified":[178],"details":[179],"correlated":[181],"variates.":[182],"Extensive":[183],"experiments":[184],"on":[185],"multiple":[186],"benchmark":[187],"datasets":[188],"demonstrate":[189],"SCI":[191],"resolves":[193],"variable":[195],"dilemma":[197],"conditions,":[200],"consistently":[201],"achieving":[202],"state-of-the-art":[203],"(SOTA)":[204],"performance.":[206]},"counts_by_year":[],"updated_date":"2026-05-05T06:06:40.768181","created_date":"2026-04-17T00:00:00"}
