{"id":"https://openalex.org/W4392864630","doi":"https://doi.org/10.1007/s10489-023-05220-0","title":"Learning evolving relations for multivariate time series forecasting","display_name":"Learning evolving relations for multivariate time series forecasting","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4392864630","doi":"https://doi.org/10.1007/s10489-023-05220-0"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-023-05220-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-023-05220-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-05220-0.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-05220-0.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070211891","display_name":"Binh Nguyen-Thai","orcid":"https://orcid.org/0000-0002-8243-4894"},"institutions":[{"id":"https://openalex.org/I4210120452","display_name":"Industrial Systems and Control (United Kingdom)","ror":"https://ror.org/033zbpq04","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210120452"]},{"id":"https://openalex.org/I868834043","display_name":"University of the West of Scotland","ror":"https://ror.org/04w3d2v20","country_code":"GB","type":"education","lineage":["https://openalex.org/I868834043"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Binh Nguyen-Thai","raw_affiliation_strings":["Raven Controls Limited, 227 West George Street, Glasgow, G2 2ND, UK","School of Computing, Engineering and Physical Sciences, University of the West of Scotland, High St, Paisley, PA1 2BE, UK"],"raw_orcid":"https://orcid.org/0000-0002-8243-4894","affiliations":[{"raw_affiliation_string":"Raven Controls Limited, 227 West George Street, Glasgow, G2 2ND, UK","institution_ids":["https://openalex.org/I4210120452"]},{"raw_affiliation_string":"School of Computing, Engineering and Physical Sciences, University of the West of Scotland, High St, Paisley, PA1 2BE, UK","institution_ids":["https://openalex.org/I868834043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029157904","display_name":"Vuong Le","orcid":"https://orcid.org/0000-0003-1582-1269"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vuong Le","raw_affiliation_strings":["Amazon, 555 Collins street, Melbourne, Victoria, 3000, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon, 555 Collins street, Melbourne, Victoria, 3000, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061227505","display_name":"Ngoc-Dung T. Tieu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093659","display_name":"University of Transport and Communications","ror":"https://ror.org/006qk6d61","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210093659"]},{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB","VN"],"is_corresponding":false,"raw_author_name":"Ngoc-Dung T. Tieu","raw_affiliation_strings":["Faculty of Information Technology, University of Transport and Communications, 3 Cau Giay, Dong Da, Hanoi, Vietnam","University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Transport and Communications, 3 Cau Giay, Dong Da, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210093659"]},{"raw_affiliation_string":"University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085471517","display_name":"Truyen Tran","orcid":"https://orcid.org/0000-0001-6531-8907"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Truyen Tran","raw_affiliation_strings":["Applied AI Institute, Deakin University, 75 Pigdons Road, Waurn Ponds, VIC, 3126, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied AI Institute, Deakin University, 75 Pigdons Road, Waurn Ponds, VIC, 3126, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045540854","display_name":"Svetha Venkatesh","orcid":"https://orcid.org/0000-0001-8675-6631"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Svetha Venkatesh","raw_affiliation_strings":["Applied AI Institute, Deakin University, 75 Pigdons Road, Waurn Ponds, VIC, 3126, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied AI Institute, Deakin University, 75 Pigdons Road, Waurn Ponds, VIC, 3126, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080291510","display_name":"Naeem Ramzan","orcid":"https://orcid.org/0000-0002-5088-1462"},"institutions":[{"id":"https://openalex.org/I868834043","display_name":"University of the West of Scotland","ror":"https://ror.org/04w3d2v20","country_code":"GB","type":"education","lineage":["https://openalex.org/I868834043"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Naeem Ramzan","raw_affiliation_strings":["School of Computing, Engineering and Physical Sciences, University of the West of Scotland, High St, Paisley, PA1 2BE, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, Engineering and Physical Sciences, University of the West of Scotland, High St, Paisley, PA1 2BE, UK","institution_ids":["https://openalex.org/I868834043"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070211891"],"corresponding_institution_ids":["https://openalex.org/I4210120452","https://openalex.org/I868834043"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.9708,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86313808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"54","issue":"5","first_page":"3918","last_page":"3932"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9965000152587891,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9872999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8854741454124451},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7213301062583923},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.7096803188323975},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6409673094749451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4800092577934265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4653300642967224},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33548712730407715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8854741454124451},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7213301062583923},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7096803188323975},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6409673094749451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4800092577934265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4653300642967224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33548712730407715},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10489-023-05220-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-023-05220-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-05220-0.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/f5301188-ae0e-40f5-8055-fbc46055c364","is_oa":true,"landing_page_url":"https://research-portal.uws.ac.uk/en/publications/f5301188-ae0e-40f5-8055-fbc46055c364","pdf_url":"https://myresearchspace.uws.ac.uk/ws/files/44690839/2024_12_06_Nguyen-Thai_forecasting_final.pdf","source":{"id":"https://openalex.org/S7407055384","display_name":"The UWS Academic Portal","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nguten-Thai, B, Le, V, Tieu, N-D T, Tran, T, Venkatesh, S & Ramzan, N 2024, 'Learning evolving relations for multivariate time series forecasting', Applied Intelligence, vol. 54, no. 5, pp. 3918-3932. https://doi.org/10.1007/s10489-023-05220-0","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10489-023-05220-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-023-05220-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-023-05220-0.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392864630.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2064675550","https://openalex.org/W2135729142","https://openalex.org/W2157331557","https://openalex.org/W2194775991","https://openalex.org/W2604847698","https://openalex.org/W2756203131","https://openalex.org/W2811507150","https://openalex.org/W2903871660","https://openalex.org/W2963920355","https://openalex.org/W2963925437","https://openalex.org/W2965341826","https://openalex.org/W2980994438","https://openalex.org/W2998313947","https://openalex.org/W3080253043","https://openalex.org/W3103720336","https://openalex.org/W3143839440","https://openalex.org/W3171884590","https://openalex.org/W3177318507","https://openalex.org/W4230644069","https://openalex.org/W6600373086","https://openalex.org/W6603242443"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W4390961098","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2472172556","https://openalex.org/W1919101720","https://openalex.org/W2118640767","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Abstract":[0],"Multivariate":[1],"time":[2,46,62,175],"series":[3,63,176],"forecasting":[4,177],"is":[5,17,66,144],"essential":[6],"in":[7,26,132,173],"various":[8],"fields,":[9],"including":[10,153],"healthcare":[11],"and":[12,35,125,158],"traffic":[13,154],"management,":[14],"but":[15],"it":[16],"a":[18,58,84,92,106,133,147,166],"challenging":[19],"task":[20],"due":[21],"to":[22,68,136],"the":[23,76,97,102,112,118,126,170],"strong":[24],"dynamics":[25,71],"both":[27,138],"intra-channel":[28,103],"relations":[29,37,82,104],"(temporal":[30],"patterns":[31],"within":[32],"individual":[33],"variables)":[34],"inter-channel":[36,81],"(the":[38],"relationships":[39],"between":[40],"variables),":[41],"which":[42,86,110],"can":[43],"evolve":[44],"over":[45,88,169],"with":[47,83,117],"abrupt":[48],"changes.":[49],"This":[50],"paper":[51],"proposes":[52],"ERAN":[53,79,100],"(Evolving":[54],"Relational":[55],"Attention":[56],"Network),":[57],"framework":[59],"for":[60,179],"multivariate":[61,174],"forecasting,":[64],"that":[65],"capable":[67],"capture":[69,137],"such":[70],"of":[72,140,150],"these":[73],"relations.":[74,141],"On":[75,96],"one":[77],"hand,":[78,99],"represents":[80,101],"graph":[85,123],"evolves":[87],"time,":[89],"modeled":[90],"using":[91,105],"recurrent":[93],"neural":[94],"network.":[95],"other":[98],"temporal":[107,114,127],"attentional":[108,128],"convolution,":[109],"captures":[111],"local":[113],"dependencies":[115],"adaptively":[116],"input":[119],"data.":[120,161,181],"The":[121,142,162],"elvoving":[122],"structure":[124],"convolution":[129],"are":[130],"intergrated":[131],"unified":[134],"model":[135,143],"types":[139],"experimented":[145],"on":[146],"large":[148],"number":[149],"real-life":[151],"datasets":[152],"flows,":[155],"energy":[156],"consumption,":[157],"COVID-19":[159],"transmission":[160],"experimental":[163],"results":[164],"show":[165],"significant":[167],"improvement":[168],"state-of-the-art":[171],"methods":[172],"particularly":[178],"non-stationary":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}