{"id":"https://openalex.org/W4256567768","doi":"https://doi.org/10.1109/aiam54119.2021.00057","title":"Deep Learning-Based Comparative Modeling of Carbon Emissions Projections","display_name":"Deep Learning-Based Comparative Modeling of Carbon Emissions Projections","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W4256567768","doi":"https://doi.org/10.1109/aiam54119.2021.00057"},"language":"en","primary_location":{"id":"doi:10.1109/aiam54119.2021.00057","doi":"https://doi.org/10.1109/aiam54119.2021.00057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiam54119.2021.00057","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027676718","display_name":"Dacheng Hou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dacheng Hou","raw_affiliation_strings":["Zhejiang Ocean University,School of Information Engineering,Zhejiang,China","School of Information Engineering, Zhejiang Ocean University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Ocean University,School of Information Engineering,Zhejiang,China","institution_ids":["https://openalex.org/I31847773"]},{"raw_affiliation_string":"School of Information Engineering, Zhejiang Ocean University, Zhejiang, China","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425881","display_name":"Haoyu Zhang","orcid":"https://orcid.org/0000-0001-9260-0270","observed_orcids":["https://orcid.org/0000-0001-9260-0270","https://orcid.org/0009-0000-6667-3265","https://orcid.org/0009-0003-1221-1796","https://orcid.org/0009-0007-3310-6724","https://orcid.org/0009-0008-8306-817X"]},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Zhang","raw_affiliation_strings":["Zhejiang Ocean University,School of Information Engineering,Zhejiang,China","School of Information Engineering, Zhejiang Ocean University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Ocean University,School of Information Engineering,Zhejiang,China","institution_ids":["https://openalex.org/I31847773"]},{"raw_affiliation_string":"School of Information Engineering, Zhejiang Ocean University, Zhejiang, China","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340071","display_name":"Lili Li","orcid":"https://orcid.org/0000-0002-9008-9701","observed_orcids":["https://orcid.org/0000-0002-9008-9701"]},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Li","raw_affiliation_strings":["Zhejiang Ocean University,School of Information Engineering,Zhejiang,China","School of Information Engineering, Zhejiang Ocean University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Ocean University,School of Information Engineering,Zhejiang,China","institution_ids":["https://openalex.org/I31847773"]},{"raw_affiliation_string":"School of Information Engineering, Zhejiang Ocean University, Zhejiang, China","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345988","display_name":"Xiaojun Wang","orcid":"https://orcid.org/0000-0001-6191-7582","observed_orcids":["https://orcid.org/0000-0001-6191-7582"]},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Wang","raw_affiliation_strings":["Zhejiang Ocean University,School of Marine Engineering Equipments,Zhejiang,China","School of Marine Engineering Equipments, Zhejiang Ocean University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Ocean University,School of Marine Engineering Equipments,Zhejiang,China","institution_ids":["https://openalex.org/I31847773"]},{"raw_affiliation_string":"School of Marine Engineering Equipments, Zhejiang Ocean University, Zhejiang, China","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004002659","display_name":"Yifan Lin","orcid":"https://orcid.org/0000-0002-6967-8237","observed_orcids":["https://orcid.org/0000-0002-6967-8237"]},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Lin","raw_affiliation_strings":["Zhejiang Ocean University,School of Marine Engineering Equipments,Zhejiang,China","School of Marine Engineering Equipments, Zhejiang Ocean University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Ocean University,School of Marine Engineering Equipments,Zhejiang,China","institution_ids":["https://openalex.org/I31847773"]},{"raw_affiliation_string":"School of Marine Engineering Equipments, Zhejiang Ocean University, Zhejiang, China","institution_ids":["https://openalex.org/I31847773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012954166","display_name":"Huandi Du","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I31847773","display_name":"Zhejiang Ocean University","ror":"https://ror.org/03mys6533","country_code":"CN","type":"education","lineage":["https://openalex.org/I31847773"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huandi Du","raw_affiliation_strings":["Zhejiang Ocean University,School of Information Engineering,Zhejiang,China","School of Information Engineering, Zhejiang Ocean University, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Ocean University,School of Information Engineering,Zhejiang,China","institution_ids":["https://openalex.org/I31847773"]},{"raw_affiliation_string":"School of Information Engineering, Zhejiang Ocean University, Zhejiang, China","institution_ids":["https://openalex.org/I31847773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31847773"],"apc_list":null,"apc_paid":null,"fwci":1.4007,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77661385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10438","display_name":"Energy, Environment, Economic Growth","score":0.9477999806404114,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10438","display_name":"Energy, Environment, Economic Growth","score":0.9477999806404114,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12368","display_name":"Grey System Theory Applications","score":0.008299999870359898,"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/T10471","display_name":"Climate Change Policy and Economics","score":0.003800000064074993,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/carbon-emissions-forecasting","display_name":"carbon emission prediction","score":0.7250000238418579},{"id":"https://openalex.org/keywords/carbon-peak","display_name":"carbon peak","score":0.9340000152587891},{"id":"https://openalex.org/keywords/carbon-neutrality","display_name":"carbon neutrality","score":0.9539999961853027},{"id":"https://openalex.org/keywords/whale-optimization-algorithm","display_name":"whale optimization algorithm","score":0.8399999737739563},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.8040000200271606},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.9660000205039978},{"id":"https://openalex.org/keywords/pearson-correlation-feature-selection","display_name":"Pearson correlation feature selection","score":0.9120000004768372},{"id":"https://openalex.org/keywords/china-carbon-emissions","display_name":"China carbon emissions","score":0.6859999895095825},{"id":"https://openalex.org/keywords/carbon-emission-drivers","display_name":"carbon emission drivers","score":0.4350000023841858}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7148380279541016},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6620581150054932},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6018689870834351},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4749743342399597},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4681829512119293},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4361186921596527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4326857328414917},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3712307810783386},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36982792615890503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34463512897491455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31345507502555847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.285439670085907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2776540517807007},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiam54119.2021.00057","doi":"https://doi.org/10.1109/aiam54119.2021.00057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiam54119.2021.00057","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":1.0,"display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2351320652","https://openalex.org/W2391951328"],"related_works":["https://openalex.org/W4313412888","https://openalex.org/W4401072116","https://openalex.org/W4399253449","https://openalex.org/W4317383764","https://openalex.org/W4386031904","https://openalex.org/W3214386898","https://openalex.org/W4391520306","https://openalex.org/W4297825626","https://openalex.org/W4399996847","https://openalex.org/W4386833074"],"abstract_inverted_index":{"Scientific":[0],"statistics":[1],"of":[2,9,92,114,133,158,209,217,267],"carbon":[3,16,25,45,93,109,115,136,144,198,269,272,294,302],"emission":[4,17],"data":[5,159,165,175,247],"and":[6,47,70,111,146,154,173,185,190,223,245,271,296],"reasonable":[7],"prediction":[8,83,279],"its":[10],"development":[11],"trend":[12],"can":[13,22,252,291],"help":[14],"stabilize":[15],"to":[18,37,79,87,106,196,205,250,263],"ensure":[19],"that":[20,42,213],"China":[21,97,118,140],"achieve":[23],"the":[24,39,51,61,71,89,108,112,120,191,214,227,235,239,242,246,257,265,281,288],"peak":[26,110,270],"by":[27,58,67,119,176,226,256,287],"2030.":[28],"In":[29],"this":[30,210],"paper,":[31],"we":[32],"use":[33],"Pearson":[34,124],"correlation":[35,125],"analysis":[36],"select":[38],"main":[40],"factors":[41,134],"optimally":[43],"affect":[44],"emissions":[46,94,137,145,199,295,303],"predict":[48,107,197,293],"them":[49],"through":[50],"back":[52,72,99,177],"propagation":[53,73,100,178],"neural":[54,63,74,101,179,229,283],"network":[55,64,75,102,230,262,284],"model":[56,65,103,193,231,285],"optimized":[57,66,232,260,286],"whale":[59,183,236,258,289],"algorithm,":[60,189],"BP":[62,228,261,282],"genetic":[68,188],"algorithm":[69,184,237,259,290],"model,":[76],"so":[77],"as":[78],"provide":[80,297],"an":[81,298],"effective":[82],"method":[84,300],"for":[85,162,200,301],"scientists":[86],"study":[88,211],"growth":[90],"rate":[91],"production":[95],"in":[96,117,139,274],"The":[98,123,164,207],"is":[104],"used":[105,161,195],"time":[113,266],"neutralization":[116],"optimal":[121,156,192,299],"model.":[122],"coefficient":[126],"screening":[127],"was":[128,194],"performed":[129],"with":[130,277],"85":[131],"groups":[132,157,216],"affecting":[135],"collected":[138],"from":[141,203,248],"1998\u20132019":[142],"under":[143],"(energy,":[147],"agriculture,":[148],"industry,":[149],"integrated,":[150],"etc.)":[151],"resource":[152],"environment,":[153],"eight":[155],"were":[160,166],"prediction.":[163,304],"compared":[167],"between":[168],"R":[169,219],"Square,":[170,220],"MSE,":[171,221],"RMSE":[172,222],"MAPE":[174],"network,":[180],"optimization":[181,186],"using":[182,187],"three":[201,243],"years":[202],"2020":[204],"2069.":[206],"results":[208],"show":[212],"four":[215],"data,":[218],"MAPE,":[224],"predicted":[225,255],"based":[233],"on":[234],"are":[238],"best":[240],"among":[241],"models,":[244,280],"2016":[249],"2069":[251],"be":[253],"accurately":[254],"determine":[264],"reaching":[268],"neutrality":[273],"China.":[275],"Compared":[276],"other":[278],"effectively":[292]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-05-12T00:00:00"}
