{"id":"https://openalex.org/W7138003128","doi":"https://doi.org/10.1609/aaai.v40i25.39249","title":"Goal-Oriented Time-Series Forecasting: Foundation Framework Design","display_name":"Goal-Oriented Time-Series Forecasting: Foundation Framework Design","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138003128","doi":"https://doi.org/10.1609/aaai.v40i25.39249"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i25.39249","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i25.39249","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39249/43210","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39249/43210","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120646080","display_name":"Luca-Andrei Fechete","orcid":null},"institutions":[{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Luca-Andrei Fechete","raw_affiliation_strings":["\u00c9cole Polytechnique, Palaiseau, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole Polytechnique, Palaiseau, France","institution_ids":["https://openalex.org/I142476485"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028270135","display_name":"Mohamed Sana","orcid":"https://orcid.org/0000-0001-5644-5840"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mohamed Sana","raw_affiliation_strings":["Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064737739","display_name":"Fadhel Ayed","orcid":"https://orcid.org/0009-0008-4234-7682"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fadhel Ayed","raw_affiliation_strings":["Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048382270","display_name":"Nicola Piovesan","orcid":"https://orcid.org/0000-0001-5397-5248"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicola Piovesan","raw_affiliation_strings":["Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129678757","display_name":"Wenjie Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Wenjie Li","raw_affiliation_strings":["Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045740906","display_name":"Antonio De Domenico","orcid":"https://orcid.org/0000-0003-1229-4045"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antonio De Domenico","raw_affiliation_strings":["Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129733388","display_name":"Tareq Si Salem","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Tareq Si Salem","raw_affiliation_strings":["Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paris Research Center, Huawei Technologies, Boulogne-Billancourt, France","institution_ids":["https://openalex.org/I4210123571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28915663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"25","first_page":"21065","last_page":"21073"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.5372999906539917,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.5372999906539917,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.20720000565052032,"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":0.04039999842643738,"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/focus","display_name":"Focus (optics)","score":0.582099974155426},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5684999823570251},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5148000121116638},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4544000029563904},{"id":"https://openalex.org/keywords/downstream","display_name":"Downstream (manufacturing)","score":0.38989999890327454},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.325300008058548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6212999820709229},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.582099974155426},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5684999823570251},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5148000121116638},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4544000029563904},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4275999963283539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4113999903202057},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38850000500679016},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2524000108242035},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i25.39249","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i25.39249","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39249/43210","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i25.39249","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i25.39249","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/39249/43210","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7844871282577515}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138003128.pdf","grobid_xml":"https://content.openalex.org/works/W7138003128.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Conventional":[0],"time-series":[1],"forecasting":[2,31],"methods":[3,75],"typically":[4],"aim":[5],"to":[6,33,37,64],"minimize":[7],"overall":[8],"prediction":[9,51],"error,":[10],"without":[11,45],"accounting":[12],"for":[13,124],"the":[14,50,66,71,122],"varying":[15],"importance":[16],"of":[17,40,108],"different":[18],"forecast":[19,104],"ranges":[20],"in":[21,115,132],"downstream":[22,116],"applications.":[23],"We":[24],"propose":[25],"a":[26,91],"training":[27],"methodology":[28],"that":[29,76,98],"enables":[30],"models":[32],"adapt":[34],"their":[35],"focus":[36],"application-specific":[38],"regions":[39,107],"interest":[41,109],"at":[42],"inference":[43],"time,":[44],"retraining.":[46],"The":[47],"approach":[48],"partitions":[49],"space":[52],"into":[53],"fine-grained":[54],"segments":[55],"during":[56],"training,":[57],"which":[58],"are":[59],"dynamically":[60],"reweighted":[61],"and":[62,90,130],"aggregated":[63],"emphasize":[65],"target":[67],"range":[68],"specified":[69],"by":[70],"application.":[72],"Unlike":[73],"prior":[74],"predefine":[77],"these":[78],"ranges,":[79],"our":[80,99],"framework":[81],"supports":[82],"flexible,":[83],"on-demand":[84],"adjustments.":[85],"Experiments":[86],"on":[87],"standard":[88],"benchmarks":[89],"newly":[92],"collected":[93],"wireless":[94],"communication":[95],"dataset":[96],"demonstrate":[97],"method":[100],"not":[101],"only":[102],"improves":[103],"accuracy":[105],"within":[106],"but":[110],"also":[111],"yields":[112],"measurable":[113],"gains":[114],"task":[117],"performance.":[118],"These":[119],"results":[120],"highlight":[121],"potential":[123],"closer":[125],"integration":[126],"between":[127],"predictive":[128],"modeling":[129],"decision-making":[131],"real-world":[133],"systems.":[134]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}
