{"id":"https://openalex.org/W4387405130","doi":"https://doi.org/10.1142/s0218126624501238","title":"Research on Maximum Temperature Prediction Based on ARIMA\u2013LSTM\u2014XGBoost Weighted Combination Model","display_name":"Research on Maximum Temperature Prediction Based on ARIMA\u2013LSTM\u2014XGBoost Weighted Combination Model","publication_year":2023,"publication_date":"2023-10-06","ids":{"openalex":"https://openalex.org/W4387405130","doi":"https://doi.org/10.1142/s0218126624501238"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126624501238","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126624501238","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-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":null,"display_name":"Jun Liu","orcid":"https://orcid.org/0009-0001-7965-2372"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, Nanning, 530004, P. R. China"],"raw_orcid":"https://orcid.org/0009-0001-7965-2372","affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, Nanning, 530004, P. R. China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102025445","display_name":"Jiayuan Yan","orcid":"https://orcid.org/0009-0001-7965-2372"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayuan Yan","raw_affiliation_strings":["Big Data Development Administration of Qiannan, Qiannan, 558000, P. R. China","School of Computer, Electronics and Information, Guangxi University, Nanning, 530004, P. R. China","Big Data Development Administration of Qiannan, Qiannan,558000, P. R. China; School of Computer,Electronics and Information, Guangxi University, Nanning, 530004, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Big Data Development Administration of Qiannan, Qiannan, 558000, P. R. China","institution_ids":[]},{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, Nanning, 530004, P. R. China","institution_ids":["https://openalex.org/I150807315"]},{"raw_affiliation_string":"Big Data Development Administration of Qiannan, Qiannan,558000, P. R. China; School of Computer,Electronics and Information, Guangxi University, Nanning, 530004, P. R. China","institution_ids":["https://openalex.org/I150807315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150807315"],"apc_list":null,"apc_paid":null,"fwci":0.9814,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75938771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"33","issue":"07","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.6796000003814697,"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"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.6796000003814697,"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"}},{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.6209999918937683,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.5598000288009644,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.9471273422241211},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5742019414901733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5426739454269409},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4121393859386444},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.37948325276374817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37412410974502563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2815311551094055},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2586511969566345}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.9471273422241211},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5742019414901733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5426739454269409},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4121393859386444},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.37948325276374817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37412410974502563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2815311551094055},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2586511969566345}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126624501238","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126624501238","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2292288263","https://openalex.org/W3037870417","https://openalex.org/W4308514105","https://openalex.org/W4313417355"],"related_works":["https://openalex.org/W3080406149","https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2974356760","https://openalex.org/W4312309719","https://openalex.org/W3115491726","https://openalex.org/W4313123484","https://openalex.org/W4386362517"],"abstract_inverted_index":{"Accurately":[0],"predicting":[1],"the":[2,43,48,68,75,92,95,100,109,113,125,151,172,177,182,188,202],"maximum":[3,69],"temperature":[4],"is":[5,169],"essential":[6],"for":[7,176,181,187],"studying":[8],"human":[9],"comfort,":[10],"ecological":[11],"environment":[12],"development":[13],"and":[14,23,61,78,88,107,117,137,158,185],"social":[15],"progress.":[16],"However,":[17],"traditional":[18],"prediction":[19,76,110,134],"methods":[20],"are":[21],"inefficient":[22],"inaccurate":[24],"when":[25],"dealing":[26],"with":[27],"large":[28],"volumes":[29],"of":[30,50,112,147,164,174],"meteorological":[31],"data.":[32],"To":[33],"tackle":[34],"these":[35],"challenges,":[36],"this":[37,130],"paper":[38,105,131],"introduces":[39],"an":[40],"integrated":[41,52],"approach,":[42],"ARIMA\u2013LSTM\u2013XGBoost":[44,118,126,140,192],"model,":[45,179],"which":[46],"combines":[47],"strengths":[49],"autoregressive":[51],"moving":[53],"average":[54],"(ARIMA),":[55],"long":[56],"short-term":[57],"memory":[58],"network":[59],"(LSTM)":[60],"eXtreme":[62],"Gradient":[63],"Boosting":[64],"(XGBoost)":[65],"to":[66,201],"predict":[67],"temperature.":[70],"The":[71,120,139,162,191],"proposed":[72,128],"model":[73,93,98,127,141,153,156,160,184,193],"enhances":[74],"accuracy":[77],"convergence":[79],"rate":[80],"through":[81],"techniques":[82],"like":[83],"MAPE":[84],"reciprocal":[85],"weight":[86],"(MAPE-RW)":[87],"Schedule":[89],"Sampling.":[90],"Additionally,":[91],"selects":[94],"best":[96],"performing":[97],"using":[99],"early":[101],"stopping":[102],"method.":[103],"This":[104],"compares":[106],"analyzes":[108],"results":[111,122],"ARIMA,":[114],"LSTM,":[115],"XGBoost":[116,159,189],"models.":[119,204],"experimental":[121],"indicate":[123],"that":[124],"in":[129],"achieves":[132],"superior":[133],"accuracy,":[135],"performance,":[136],"confidence.":[138],"shows":[142],"a":[143,196],"Root-Mean-Squared":[144],"Error":[145],"(RMSE)":[146],"1.381,":[148],"significantly":[149],"outperforming":[150],"ARIMA":[152,178],"(3.828),":[154],"LSTM":[155,183],"(3.360)":[157],"(1.422).":[161],"coefficient":[163],"determination":[165],"([Formula:":[166],"see":[167],"text]":[168],"0.977,":[170],"surpassing":[171],"values":[173],"0.905":[175],"0.922":[180],"0.910":[186],"model.":[190],"also":[194],"exhibits":[195],"higher":[197],"confidence":[198],"level":[199],"compared":[200],"individual":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
