{"id":"https://openalex.org/W4291520172","doi":"https://doi.org/10.1007/978-3-031-13832-4_46","title":"A Hybrid Daily Carbon Emission Prediction Model Combining CEEMD, WD and LSTM","display_name":"A Hybrid Daily Carbon Emission Prediction Model Combining CEEMD, WD and LSTM","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4291520172","doi":"https://doi.org/10.1007/978-3-031-13832-4_46"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-13832-4_46","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-13832-4_46","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5046369237","display_name":"Xing Zhang","orcid":"https://orcid.org/0000-0003-0071-3417"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xing Zhang","raw_affiliation_strings":["Sinounited Investment Group Corporation Limited, Beijing, 102611, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sinounited Investment Group Corporation Limited, Beijing, 102611, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101692593","display_name":"Wensong Zhang","orcid":"https://orcid.org/0000-0001-5364-3403"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensong Zhang","raw_affiliation_strings":["School of Economics and Management, Beijing Jiaotong University, Beijing, 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beijing Jiaotong University, Beijing, 100044, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046369237"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"557","last_page":"571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10435","display_name":"Environmental Impact and Sustainability","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10435","display_name":"Environmental Impact and Sustainability","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T12095","display_name":"Vehicle emissions and performance","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.6845698952674866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6253040432929993},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4958520829677582},{"id":"https://openalex.org/keywords/carbon-fibers","display_name":"Carbon fibers","score":0.48885291814804077},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.43322306871414185},{"id":"https://openalex.org/keywords/sample-entropy","display_name":"Sample entropy","score":0.4107200503349304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3965475559234619},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32832837104797363},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2970169484615326},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2752358913421631},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24709978699684143},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.18413585424423218},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07851788401603699}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6845698952674866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6253040432929993},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4958520829677582},{"id":"https://openalex.org/C140205800","wikidata":"https://www.wikidata.org/wiki/Q5860","display_name":"Carbon fibers","level":3,"score":0.48885291814804077},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.43322306871414185},{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.4107200503349304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3965475559234619},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32832837104797363},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2970169484615326},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2752358913421631},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24709978699684143},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.18413585424423218},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07851788401603699},{"id":"https://openalex.org/C104779481","wikidata":"https://www.wikidata.org/wiki/Q50707","display_name":"Composite number","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-13832-4_46","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-13832-4_46","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1689711448","https://openalex.org/W2046794274","https://openalex.org/W2059824161","https://openalex.org/W2077831453","https://openalex.org/W2079735306","https://openalex.org/W2129276500","https://openalex.org/W2597154958","https://openalex.org/W2753260324","https://openalex.org/W2896532220","https://openalex.org/W2972255082","https://openalex.org/W3005888476","https://openalex.org/W3007709767","https://openalex.org/W3092914093","https://openalex.org/W3095646616","https://openalex.org/W3159031898","https://openalex.org/W3164891610","https://openalex.org/W3186826224","https://openalex.org/W3211366705","https://openalex.org/W4213080935","https://openalex.org/W4244542468","https://openalex.org/W4255985354"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2380939102","https://openalex.org/W154554909","https://openalex.org/W2072581623","https://openalex.org/W2011248322","https://openalex.org/W2329112433"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
