{"id":"https://openalex.org/W4404208373","doi":"https://doi.org/10.1007/s40747-024-01609-7","title":"Integrating fast iterative filtering and ensemble neural network structure with attention mechanism for carbon price forecasting","display_name":"Integrating fast iterative filtering and ensemble neural network structure with attention mechanism for carbon price forecasting","publication_year":2024,"publication_date":"2024-11-09","ids":{"openalex":"https://openalex.org/W4404208373","doi":"https://doi.org/10.1007/s40747-024-01609-7"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01609-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01609-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01609-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","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/10.1007/s40747-024-01609-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103124737","display_name":"Zhong Wang","orcid":"https://orcid.org/0009-0002-9367-5535"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wang Zhong","raw_affiliation_strings":["College of Management Science, Chengdu University of Technology, Chengdu, 610059, China"],"affiliations":[{"raw_affiliation_string":"College of Management Science, Chengdu University of Technology, Chengdu, 610059, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114861068","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0003-2232-2783"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Yue","raw_affiliation_strings":["College of Management Science, Chengdu University of Technology, Chengdu, 610059, China"],"affiliations":[{"raw_affiliation_string":"College of Management Science, Chengdu University of Technology, Chengdu, 610059, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wang Haoran","orcid":null},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Haoran","raw_affiliation_strings":["College of Management Science, Chengdu University of Technology, Chengdu, 610059, China"],"affiliations":[{"raw_affiliation_string":"College of Management Science, Chengdu University of Technology, Chengdu, 610059, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101824160","display_name":"Nan Tang","orcid":"https://orcid.org/0000-0003-2832-0295"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tang Nan","raw_affiliation_strings":["College of Management Science, Chengdu University of Technology, Chengdu, 610059, China"],"affiliations":[{"raw_affiliation_string":"College of Management Science, Chengdu University of Technology, Chengdu, 610059, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5095112986","display_name":"Wang Shuyue","orcid":null},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Shuyue","raw_affiliation_strings":["The College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, 610059, China"],"affiliations":[{"raw_affiliation_string":"The College of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, 610059, China","institution_ids":["https://openalex.org/I31595395"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103124737"],"corresponding_institution_ids":["https://openalex.org/I31595395"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":2.1956,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87642077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9878000020980835,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9678000211715698,"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/mechanism","display_name":"Mechanism (biology)","score":0.7276327610015869},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.6870508193969727},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5944615602493286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49965643882751465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4279709756374359},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11493921279907227}],"concepts":[{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.7276327610015869},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.6870508193969727},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5944615602493286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49965643882751465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4279709756374359},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11493921279907227},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01609-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01609-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01609-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0c22c4eef71f48959947b577afc685d9","is_oa":true,"landing_page_url":"https://doaj.org/article/0c22c4eef71f48959947b577afc685d9","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":"Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-21 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01609-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01609-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01609-7.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323826","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21"},{"id":"https://openalex.org/F4320328111","display_name":"Chengdu University","ror":"https://ror.org/034z67559"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404208373.pdf","grobid_xml":"https://content.openalex.org/works/W4404208373.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1971509683","https://openalex.org/W1988845048","https://openalex.org/W2000982976","https://openalex.org/W2007221293","https://openalex.org/W2064675550","https://openalex.org/W2079117566","https://openalex.org/W2093620380","https://openalex.org/W2107558893","https://openalex.org/W2290314833","https://openalex.org/W2543678400","https://openalex.org/W2571353333","https://openalex.org/W2896829689","https://openalex.org/W2904390847","https://openalex.org/W2904670286","https://openalex.org/W2909548510","https://openalex.org/W2915806950","https://openalex.org/W2916174820","https://openalex.org/W2948490758","https://openalex.org/W2953352227","https://openalex.org/W2963396373","https://openalex.org/W2964322174","https://openalex.org/W2975025053","https://openalex.org/W2977306045","https://openalex.org/W2987277625","https://openalex.org/W2990569776","https://openalex.org/W3003244946","https://openalex.org/W3004793191","https://openalex.org/W3014616211","https://openalex.org/W3021048621","https://openalex.org/W3021465827","https://openalex.org/W3039032335","https://openalex.org/W3047515461","https://openalex.org/W3082897622","https://openalex.org/W3087269484","https://openalex.org/W3095603781","https://openalex.org/W3104785997","https://openalex.org/W3113909459","https://openalex.org/W3114921025","https://openalex.org/W3118070213","https://openalex.org/W3118379120","https://openalex.org/W3136798355","https://openalex.org/W3137481883","https://openalex.org/W3146366485","https://openalex.org/W3152977626","https://openalex.org/W3158745131","https://openalex.org/W3186567624","https://openalex.org/W4213265320","https://openalex.org/W4285987744","https://openalex.org/W4367311963","https://openalex.org/W4380368032","https://openalex.org/W4382175553","https://openalex.org/W4385143202","https://openalex.org/W4386276238","https://openalex.org/W4390979164","https://openalex.org/W4391022567","https://openalex.org/W4391155129","https://openalex.org/W4392889595","https://openalex.org/W4393065931","https://openalex.org/W4394800817","https://openalex.org/W4399284306","https://openalex.org/W4399381752","https://openalex.org/W4399785963","https://openalex.org/W4400381589","https://openalex.org/W6603242443"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Accurate":[0],"carbon":[1,15,36,66,140,224,242],"price":[2,16,67],"forecasts":[3],"are":[4,132],"crucial":[5],"for":[6,221],"policymakers":[7],"and":[8,24,32,99,148,163,219],"enterprises":[9],"to":[10,20,29,42,60,134,152,168,184,199],"understand":[11],"the":[12,30,65,91,117,124,127,136,154,157,176,207,222,236,246],"dynamics":[13],"of":[14,35,74,156,214,238],"fluctuations,":[17],"enabling":[18],"them":[19],"formulate":[21],"informed":[22],"policies":[23],"investment":[25],"strategies.":[26],"However,":[27],"due":[28],"non-linear":[31],"non-stationary":[33],"nature":[34],"price,":[37,243],"traditional":[38],"models":[39,162],"often":[40],"struggle":[41],"achieve":[43],"high":[44],"prediction":[45,57,85,181],"accuracy.":[46,63],"To":[47],"address":[48],"this":[49,51],"challenge,":[50],"study":[52],"proposes":[53],"a":[54,72,190],"novel":[55],"integrated":[56,84],"framework":[58],"designed":[59],"enhance":[61],"forecast":[62],"First,":[64],"series":[68,73],"is":[69,88,189],"decomposed":[70],"into":[71],"smoother":[75],"subsequences":[76],"using":[77],"fast":[78],"iterative":[79],"filtering":[80],"(FIF).":[81],"Subsequently,":[82],"an":[83],"model,":[86],"AM-TCN-LSTM,":[87],"constructed,":[89],"incorporating":[90],"attention":[92,107,232],"mechanism":[93,108,233],"(AM),":[94],"temporal":[95,121],"convolutional":[96],"networks":[97],"(TCN),":[98],"long":[100],"short-term":[101,247],"memory":[102],"(LSTM)":[103],"neural":[104],"networks.":[105],"The":[106,171,203,231],"adaptively":[109],"captures":[110,235],"complex":[111],"features":[112,122],"from":[113,123,129],"multiple":[114,239],"factors,":[115],"while":[116],"TCN-LSTM":[118,177],"efficiently":[119],"extracts":[120],"sequences.":[125],"Finally,":[126],"results":[128,172],"each":[130],"subsequence":[131],"aggregated":[133],"generate":[135],"final":[137],"prediction.":[138],"Five":[139],"markets":[141],"in":[142],"china:":[143],"Guangdong,":[144],"Hubei,":[145],"Shenzhen,":[146],"Beijing,":[147],"Shanghai":[149],"were":[150,166],"selected":[151],"verify":[153],"validity":[155],"proposed":[158,204],"model.":[159],"Various":[160],"comparative":[161],"evaluation":[164],"metrics":[165],"employed":[167],"assess":[169],"performance.":[170],"demonstrate":[173],"that:":[174],"(1)":[175],"model":[178,205],"achieves":[179],"higher":[180],"accuracy":[182],"compared":[183,198],"single":[185],"models.":[186,229],"(2)":[187],"FIF":[188],"more":[191],"effective":[192],"decomposition":[193],"method":[194],"with":[195,211],"superior":[196],"performance":[197],"EMD-based":[200],"methods.":[201],"(3)":[202],"exhibits":[206],"highest":[208],"predictive":[209],"capability,":[210],"MAE":[212],"values":[213],"0.0964,":[215],"0.1403,":[216],"1.9476,":[217],"2.0848,":[218],"0.5029":[220],"five":[223],"markets,":[225],"significantly":[226],"outperforming":[227],"comparison":[228],"(4)":[230],"effectively":[234],"influence":[237],"factors":[240],"on":[241],"particularly":[244],"within":[245],"components.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
