{"id":"https://openalex.org/W2998803808","doi":"https://doi.org/10.1108/dta-08-2019-0130","title":"GWLM\u2013NARX","display_name":"GWLM\u2013NARX","publication_year":2020,"publication_date":"2020-01-15","ids":{"openalex":"https://openalex.org/W2998803808","doi":"https://doi.org/10.1108/dta-08-2019-0130","mag":"2998803808"},"language":"en","primary_location":{"id":"doi:10.1108/dta-08-2019-0130","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-08-2019-0130","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","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":"https://openalex.org/A5064854091","display_name":"Razeef Mohd","orcid":null},"institutions":[{"id":"https://openalex.org/I135388327","display_name":"University of Kashmir","ror":"https://ror.org/032xfst36","country_code":"IN","type":"education","lineage":["https://openalex.org/I135388327"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Razeef Mohd","raw_affiliation_strings":["University of Kashmir, Hazratbal, India"],"affiliations":[{"raw_affiliation_string":"University of Kashmir, Hazratbal, India","institution_ids":["https://openalex.org/I135388327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072591163","display_name":"Muheet Ahmed Butt","orcid":"https://orcid.org/0000-0002-8059-0180"},"institutions":[{"id":"https://openalex.org/I135388327","display_name":"University of Kashmir","ror":"https://ror.org/032xfst36","country_code":"IN","type":"education","lineage":["https://openalex.org/I135388327"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Muheet Ahmed Butt","raw_affiliation_strings":["University of Kashmir, Hazratbal, India"],"affiliations":[{"raw_affiliation_string":"University of Kashmir, Hazratbal, India","institution_ids":["https://openalex.org/I135388327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055922215","display_name":"Majid Zaman Baba","orcid":null},"institutions":[{"id":"https://openalex.org/I135388327","display_name":"University of Kashmir","ror":"https://ror.org/032xfst36","country_code":"IN","type":"education","lineage":["https://openalex.org/I135388327"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Majid Zaman Baba","raw_affiliation_strings":["University of Kashmir, Hazratbal, India"],"affiliations":[{"raw_affiliation_string":"University of Kashmir, Hazratbal, India","institution_ids":["https://openalex.org/I135388327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064854091"],"corresponding_institution_ids":["https://openalex.org/I135388327"],"apc_list":null,"apc_paid":null,"fwci":1.809,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.82852881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"54","issue":"1","first_page":"85","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9987000226974487,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9987000226974487,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9980999827384949,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.9004274606704712},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6889394521713257},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5471970438957214},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5277339220046997},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5134838223457336},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.48477715253829956},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42347782850265503},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.4144558012485504},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39106500148773193},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3573184907436371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33506184816360474},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15411436557769775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13894909620285034},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.11075255274772644}],"concepts":[{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.9004274606704712},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6889394521713257},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5471970438957214},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5277339220046997},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5134838223457336},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.48477715253829956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42347782850265503},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.4144558012485504},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39106500148773193},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3573184907436371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33506184816360474},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15411436557769775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13894909620285034},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.11075255274772644},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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:10.1108/dta-08-2019-0130","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-08-2019-0130","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Technologies and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1865026026","https://openalex.org/W1979156432","https://openalex.org/W2009536270","https://openalex.org/W2061438946","https://openalex.org/W2085396059","https://openalex.org/W2087849123","https://openalex.org/W2095725905","https://openalex.org/W2120676854","https://openalex.org/W2198731842","https://openalex.org/W2470430431","https://openalex.org/W2509053681","https://openalex.org/W2542729679","https://openalex.org/W2562492196","https://openalex.org/W2568916772","https://openalex.org/W2571229024","https://openalex.org/W2571438337","https://openalex.org/W2572436016","https://openalex.org/W2597172628","https://openalex.org/W2610872350","https://openalex.org/W2612828053","https://openalex.org/W2625047976","https://openalex.org/W2735881140","https://openalex.org/W2742492734","https://openalex.org/W2747579856","https://openalex.org/W2749346977","https://openalex.org/W2751292311","https://openalex.org/W2773055204","https://openalex.org/W2911067017","https://openalex.org/W2920154870","https://openalex.org/W4239365670"],"related_works":["https://openalex.org/W3156263594","https://openalex.org/W2289305102","https://openalex.org/W2040355181","https://openalex.org/W2981300935","https://openalex.org/W2101113449","https://openalex.org/W3003210915","https://openalex.org/W1996222438","https://openalex.org/W3019121224","https://openalex.org/W2336868063","https://openalex.org/W4303444764"],"abstract_inverted_index":{"Purpose":[0],"Weather":[1],"forecasting":[2],"is":[3,12,46,74,104,159,166,179,188,248,253,291,307],"the":[4,8,13,17,28,40,43,62,65,69,83,100,107,114,118,125,129,133,152,156,160,163,169,176,182,185,192,197,205,209,224,228,235,238,245,251,260,265,276,295,310],"trending":[5],"topic":[6],"around":[7,283],"world":[9],"as":[10,145],"it":[11],"way":[14],"to":[15,26,75,255,281],"predict":[16],"threats":[18],"posed":[19],"by":[20,309],"extreme":[21],"rainfall":[22,66,79,96,119,130,153,230,289],"conditions":[23],"that":[24,103],"lead":[25],"damage":[27],"human":[29],"life":[30],"and":[31,50,162,184,196,215,233,250,264,269,285,316],"properties.":[32],"These":[33],"issues":[34],"can":[35,53],"be":[36,54,256,282],"managed":[37],"only":[38],"when":[39],"occurrence":[41],"of":[42,64,71,117,155,207,227,237,244,275,312],"worse":[44],"weather":[45],"predicted":[47],"in":[48,56,60,120,132,181],"advance,":[49],"sufficient":[51],"warnings":[52],"executed":[55],"time.":[57],"Thus,":[58],"keeping":[59],"mind":[61],"importance":[63],"prediction":[67,80,97,102,112,116,148,174,240,290],"system,":[68],"purpose":[70],"this":[72],"paper":[73,93],"propose":[76],"an":[77,146,303],"effective":[78,115],"model":[81,98,143],"using":[82,99,106,175,220,294],"nonlinear":[84],"auto-regressive":[85],"with":[86,211,259],"external":[87],"input":[88],"(NARX)":[89],"model.":[90,109],"Design/methodology/approach":[91],"The":[92,110,140,172,201,218,242,288],"proposes":[94],"a":[95,121],"time-series":[101,111],"enabled":[105,292],"NARX":[108,142],"ensures":[113],"particular":[122],"area":[123],"or":[124,136,138],"locality":[126],"based":[127,167,190],"on":[128,168,191],"data":[131,154],"previous":[134,157],"term":[135],"month":[137],"year.":[139],"proposed":[141,170,177,186,202,229,239,246,277,296,308],"serves":[144],"adaptive":[147,173],"model,":[149],"for":[150],"which":[151],"period":[158],"input,":[161],"optimal":[164],"computation":[165],"algorithm.":[171,200,318],"algorithm":[178,187,203],"exhibited":[180],"NARX,":[183,301],"developed":[189],"Grey":[193,297,313],"Wolf":[194,298,314],"Optimization":[195],"Levenberg\u2013Marqueret":[198],"(LM)":[199],"inherits":[204],"advantages":[206],"both":[208],"algorithms":[210],"better":[212,225,257],"computational":[213],"time":[214],"accuracy.":[216],"Findings":[217],"analysis":[219],"two":[221],"databases":[222],"enables":[223],"understanding":[226],"detection":[231],"methods":[232,263],"proves":[234],"effectiveness":[236,243],"method.":[241],"method":[247,278],"enhanced":[249],"accuracy":[252],"found":[254,280],"compared":[258],"other":[261],"existing":[262],"mean":[266,272],"square":[267,273],"error":[268],"percentage":[270],"root":[271],"difference":[274],"are":[279],"0.0093":[284],"0.207.":[286],"Originality/value":[287],"adaptively":[293],"Levenberg\u2013Marquardt":[299],"(GWLM)-based":[300],"wherein":[302],"algorithm,":[304],"named":[305],"GWLM,":[306],"integration":[311],"Optimizer":[315],"LM":[317]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-01-23T00:00:00"}