{"id":"https://openalex.org/W4405305066","doi":"https://doi.org/10.1109/icis61260.2024.10778369","title":"Carbon Emission Prediction Model Based on LSTM Enhanced by Attention Mechanism and Elman Neural Network","display_name":"Carbon Emission Prediction Model Based on LSTM Enhanced by Attention Mechanism and Elman Neural Network","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4405305066","doi":"https://doi.org/10.1109/icis61260.2024.10778369"},"language":"en","primary_location":{"id":"doi:10.1109/icis61260.2024.10778369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis61260.2024.10778369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 24th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"},"type":"article","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/A5102004554","display_name":"Bohao Li","orcid":"https://orcid.org/0000-0001-7354-2116"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bohao Li","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076585971","display_name":"Shaojing Song","orcid":"https://orcid.org/0000-0002-1194-6390"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojing Song","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706701","display_name":"Yang Gu","orcid":"https://orcid.org/0000-0003-3919-110X"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Gu","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006235162","display_name":"Haihua Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haihua Yu","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101269407","display_name":"Yu Chai","orcid":"https://orcid.org/0009-0004-3106-0134"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Chai","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100522988","display_name":"Fan Wu","orcid":"https://orcid.org/0009-0005-6059-4722"},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["Shanghai Polytechnic University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Polytechnic University,Shanghai,China","institution_ids":["https://openalex.org/I135905480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102004554"],"corresponding_institution_ids":["https://openalex.org/I135905480"],"apc_list":null,"apc_paid":null,"fwci":1.9803,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89943681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.6258000135421753,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.6258000135421753,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.5687999725341797,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.706277072429657},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6881711483001709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6827090382575989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5856943726539612},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33163827657699585}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.706277072429657},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6881711483001709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827090382575989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5856943726539612},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33163827657699585},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis61260.2024.10778369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis61260.2024.10778369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/ACIS 24th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1689711448","https://openalex.org/W2791958283","https://openalex.org/W2885195348","https://openalex.org/W4285596757","https://openalex.org/W4306658314","https://openalex.org/W6628877408","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"China,":[0],"now":[1],"the":[2,23,66,77,114,123],"global":[3],"leader":[4],"in":[5,122],"energy":[6],"production":[7],"and":[8,42,61,85,89,111],"consumption,":[9],"has":[10],"made":[11],"significant":[12],"strides":[13],"towards":[14],"its":[15],"dual-carbon":[16],"goals":[17],"as":[18],"of":[19,79],"2021.":[20],"This":[21],"underlines":[22],"crucial":[24],"need":[25,115],"for":[26,71,116],"accurate":[27],"regional":[28,72,93],"carbon":[29,73,94],"emission":[30,74,95],"forecasting.":[31],"Traditional":[32],"back":[33],"propagation":[34],"neural":[35,63,69,87,109],"networks":[36,64,110],"face":[37],"challenges":[38],"with":[39,58,65],"local":[40],"minima":[41],"slow":[43],"convergence.":[44],"To":[45],"overcome":[46],"these,":[47],"our":[48,97],"study":[49],"proposes":[50],"an":[51],"innovative":[52],"method":[53],"that":[54,100],"combines":[55],"LSTM-Attention,":[56],"enriched":[57],"self-attention":[59],"mechanisms,":[60],"Elman":[62,86],"traditional":[67],"BP":[68,108],"model":[70,82,102],"prediction.":[75],"Through":[76],"development":[78],"a":[80],"predictive":[81],"leveraging":[83],"LSTM-Attention":[84],"networks,":[88],"applying":[90],"it":[91],"to":[92],"forecasts,":[96],"findings":[98],"reveal":[99],"this":[101],"achieves":[103],"higher":[104],"accuracy":[105],"than":[106],"conventional":[107],"substantially":[112],"reduces":[113],"gas":[117],"sensors,":[118],"thus":[119],"lowering":[120],"costs":[121],"statistical":[124],"process.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}