{"id":"https://openalex.org/W4318147647","doi":"https://doi.org/10.1109/bigdata55660.2022.10020940","title":"Using CNN-LSTM Model for Weather Forecasting","display_name":"Using CNN-LSTM Model for Weather Forecasting","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318147647","doi":"https://doi.org/10.1109/bigdata55660.2022.10020940"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020940","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"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/A5109230807","display_name":"Michael K.H. Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Michael Fan","raw_affiliation_strings":["Carleton University Ottawa,Department of Systems and Computer Engineering,Ontario,Canada","Department of Systems and Computer Engineering, Carleton University Ottawa, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University Ottawa,Department of Systems and Computer Engineering,Ontario,Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001128758","display_name":"Omar Imran","orcid":"https://orcid.org/0009-0004-2791-5435"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Omar Imran","raw_affiliation_strings":["Carleton University Ottawa,Department of Systems and Computer Engineering,Ontario,Canada","Department of Systems and Computer Engineering, Carleton University Ottawa, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University Ottawa,Department of Systems and Computer Engineering,Ontario,Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091558015","display_name":"Arka Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Arka Singh","raw_affiliation_strings":["Carleton University Ottawa,Department of Systems and Computer Engineering,Ontario,Canada","Department of Systems and Computer Engineering, Carleton University Ottawa, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University Ottawa,Department of Systems and Computer Engineering,Ontario,Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004784914","display_name":"Samuel A. Ajila","orcid":"https://orcid.org/0000-0001-8824-1922"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Samuel A. Ajila","raw_affiliation_strings":["Carleton University Ottawa,Department of Systems and Computer Engineering,Ontario,Canada","Department of Systems and Computer Engineering, Carleton University Ottawa, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University Ottawa,Department of Systems and Computer Engineering,Ontario,Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Department of Systems and Computer Engineering, Carleton University Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":6.6079,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.98260438,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4120","last_page":"4125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9925000071525574,"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"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9925000071525574,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9922000169754028,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7527662515640259},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6873351335525513},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.643589437007904},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5600228309631348},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.5588313937187195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.557361364364624},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5346900820732117},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4778710901737213},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.45560115575790405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.438196063041687},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.4337102174758911},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3145933747291565},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.21011948585510254},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10271197557449341},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07140490412712097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7527662515640259},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6873351335525513},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.643589437007904},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5600228309631348},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.5588313937187195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.557361364364624},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5346900820732117},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4778710901737213},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.45560115575790405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.438196063041687},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.4337102174758911},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3145933747291565},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.21011948585510254},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10271197557449341},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07140490412712097},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10020940","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2069143585","https://openalex.org/W2897722020","https://openalex.org/W2921437497","https://openalex.org/W2952060378","https://openalex.org/W2963942586","https://openalex.org/W3011884329","https://openalex.org/W3030878622","https://openalex.org/W3040542219","https://openalex.org/W3094568574","https://openalex.org/W3120751998","https://openalex.org/W3134286464","https://openalex.org/W3213415193","https://openalex.org/W4205099615","https://openalex.org/W4205226625","https://openalex.org/W4205857837","https://openalex.org/W4206632615","https://openalex.org/W4320013936","https://openalex.org/W4385674832","https://openalex.org/W6731511348","https://openalex.org/W6760631180"],"related_works":["https://openalex.org/W3110237217","https://openalex.org/W3081577063","https://openalex.org/W2184710923","https://openalex.org/W3133000293","https://openalex.org/W4315472244","https://openalex.org/W3155716677","https://openalex.org/W2526518095","https://openalex.org/W2321020009","https://openalex.org/W4383218913","https://openalex.org/W2383990192"],"abstract_inverted_index":{"An":[0],"efficient":[1],"and":[2,13,24,95,103,115,130,135],"cost-effective":[3],"weather":[4,55,74],"forecasting":[5],"approach":[6],"can":[7],"be":[8],"used":[9],"to":[10,48,71],"protect":[11],"humans":[12],"benefit":[14],"economic":[15],"growth":[16],"as":[17],"a":[18,59,104],"result":[19],"of":[20,44,52,140],"secure":[21],"forest,":[22],"agriculture,":[23],"tourism":[25],"industry":[26],"sectors.":[27],"This":[28],"paper":[29,46],"is":[30,47,93,107,148,152],"based":[31,61],"on":[32,97],"the":[33,77,83,89,98,110,136,144,157],"IEEE":[34],"Big":[35],"Data":[36],"IARAI\u2019s":[37],"Weather4cast":[38],"2021":[39],"challenge":[40],"dataset.":[41],"The":[42,65,91],"goal":[43],"this":[45],"consider":[49],"computational":[50],"cost":[51,150],"predicting":[53],"future":[54,73],"forecast":[56],"by":[57],"using":[58,82],"CNN-LSTM":[60],"neural":[62],"network":[63,66],"model.":[64,125,159],"utilizes":[67],"an":[68],"encoder-decoder":[69],"architecture":[70],"predict":[72],"images.":[75],"All":[76],"four":[78],"variables":[79],"are":[80,133],"predicted":[81],"same":[84],"model":[85,92,146],"providing":[86],"generalization":[87],"in":[88,119,138],"solution.":[90],"trained":[94],"tested":[96],"Nile":[99],"Region":[100],"(R1)":[101],"data":[102],"significant":[105],"improvement":[106],"observed":[108],"for":[109,143],"loss":[111],"against":[112],"cloud":[113],"mask":[114],"rainfall":[116],"feature":[117],"prediction":[118],"comparison":[120],"with":[121],"CNNGRU":[122],"deep":[123,131,158],"learning":[124],"Two":[126],"models":[127,132],"\u2013":[128],"shallow":[129,145],"compared":[134],"results":[137],"terms":[139],"MSE":[141],"values":[142],"(which":[147],"computationally":[149],"effective)":[151],"not":[153],"too":[154],"far":[155],"from":[156]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-08-02T14:50:37.381335","created_date":"2025-10-10T00:00:00"}
