{"id":"https://openalex.org/W4411385032","doi":"https://doi.org/10.1111/coin.70084","title":"Data Driven Long Short\u2010Term Load Prediction: LSTM\u2010RNN, XG\u2010Boost and Conventional Models in Comparative Analysis","display_name":"Data Driven Long Short\u2010Term Load Prediction: LSTM\u2010RNN, XG\u2010Boost and Conventional Models in Comparative Analysis","publication_year":2025,"publication_date":"2025-06-01","ids":{"openalex":"https://openalex.org/W4411385032","doi":"https://doi.org/10.1111/coin.70084"},"language":"en","primary_location":{"id":"doi:10.1111/coin.70084","is_oa":true,"landing_page_url":"https://doi.org/10.1111/coin.70084","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70084","source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70084","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012830384","display_name":"Waqar Waheed","orcid":"https://orcid.org/0000-0001-7810-000X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Waqar Waheed","raw_affiliation_strings":["Department of Electrical Engineering Southeast University  Nanjing People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Southeast University  Nanjing People's Republic of China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088798034","display_name":"Qingshan Xu","orcid":"https://orcid.org/0000-0002-4526-9973"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingshan Xu","raw_affiliation_strings":["Department of Electrical Engineering Southeast University  Nanjing People's Republic of China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering Southeast University  Nanjing People's Republic of China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012830384"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":5.7445,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.96170336,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"41","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"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":1.0,"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/T10424","display_name":"Electric Power System Optimization","score":0.9879000186920166,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9779999852180481,"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/term","display_name":"Term (time)","score":0.7395548820495605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5612171292304993},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4949323534965515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4435046315193176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33937525749206543}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7395548820495605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5612171292304993},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4949323534965515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4435046315193176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33937525749206543},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/coin.70084","is_oa":true,"landing_page_url":"https://doi.org/10.1111/coin.70084","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70084","source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1111/coin.70084","is_oa":true,"landing_page_url":"https://doi.org/10.1111/coin.70084","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/coin.70084","source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411385032.pdf","grobid_xml":"https://content.openalex.org/works/W4411385032.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1575784913","https://openalex.org/W1720804347","https://openalex.org/W1871376293","https://openalex.org/W2052089771","https://openalex.org/W2095471434","https://openalex.org/W2159514557","https://openalex.org/W2163922914","https://openalex.org/W2183400522","https://openalex.org/W2313169588","https://openalex.org/W2592453717","https://openalex.org/W2601171548","https://openalex.org/W2604099671","https://openalex.org/W2607686132","https://openalex.org/W2743680082","https://openalex.org/W2754252319","https://openalex.org/W2776741657","https://openalex.org/W2792961021","https://openalex.org/W2805023304","https://openalex.org/W2809317444","https://openalex.org/W2895418405","https://openalex.org/W2915043045","https://openalex.org/W2984347565","https://openalex.org/W2997116410","https://openalex.org/W3001882032","https://openalex.org/W3008314711","https://openalex.org/W3011349791","https://openalex.org/W3027972301","https://openalex.org/W3195694215","https://openalex.org/W4200049801","https://openalex.org/W4206304985","https://openalex.org/W4206566225","https://openalex.org/W4229712568","https://openalex.org/W4235673545","https://openalex.org/W4280567399","https://openalex.org/W4281730771","https://openalex.org/W4285122835","https://openalex.org/W4309760235","https://openalex.org/W4319159759","https://openalex.org/W4367547502","https://openalex.org/W4387497930","https://openalex.org/W4387652219","https://openalex.org/W4387962327","https://openalex.org/W4388323135","https://openalex.org/W4388550577","https://openalex.org/W4388966732","https://openalex.org/W4392714183","https://openalex.org/W4401901857"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"ABSTRACT":[0],"The":[1,44,80,129,149,178,199],"precise":[2,113],"prediction":[3,65],"of":[4,8,20,24,46,54,82,91,98,105,111,131,184,205,219],"power":[5,13,106,239,244],"demand":[6,83,139,220,240],"is":[7,49,90,135],"utmost":[9],"importance":[10,93],"for":[11,237],"optimizing":[12],"system":[14],"operations,":[15],"particularly":[16,190],"in":[17,36,63,94,147,168,186,207,211,242],"the":[18,21,52,73,96,102,109,153,203,216],"domain":[19],"increasing":[22],"integration":[23],"renewable":[25,87,224],"energy":[26,88,114,225],"resources.":[27],"Conventional":[28],"statistical":[29],"and":[30,66,76,85,101,126,166,173,223,232],"machine":[31,163],"learning":[32,164],"techniques":[33,165],"encounter":[34],"difficulties":[35],"capturing":[37],"complex":[38],"temporal":[39],"correlations":[40],"within":[41],"load":[42,64,176,209],"data.":[43,198],"objective":[45],"this":[47],"research":[48],"to":[50,161],"examine":[51],"utilization":[53],"Long":[55],"Short\u2010Term":[56],"Memory":[57],"\u2013":[58],"Recurrent":[59],"Neural":[60],"Networks":[61],"(LSTM\u2010RNNs)":[62],"perform":[67],"an":[68],"extensive":[69],"comparison":[70],"analysis":[71],"with":[72,193],"well\u2010established":[74],"XG\u2010Boost":[75,167],"other":[77],"conventional":[78],"techniques.":[79],"incorporation":[81,218],"response":[84,221],"distributed":[86],"sources":[89],"paramount":[92],"ensuring":[95],"stability":[97],"smart":[99,212],"grids":[100],"accurate":[103,188],"assessment":[104],"demand.":[107],"However,":[108],"task":[110],"making":[112],"forecasts":[115],"faces":[116],"various":[117],"obstacles":[118],"that":[119,152],"stem":[120],"from":[121,142],"climate":[122],"conditions,":[123],"societal":[124],"influences,":[125],"seasonal":[127],"variations.":[128],"precision":[130],"our":[132],"LSTM\u2010RNN":[133,154,179,206],"model":[134,155],"evaluated":[136],"using":[137],"actual":[138],"data":[140],"obtained":[141],"a":[143,181,234],"prominent":[144],"utility":[145],"company":[146],"Germany.":[148],"findings":[150],"indicate":[151],"consistently":[156],"exhibits":[157],"superior":[158],"performance":[159],"compared":[160],"standard":[162],"both":[169],"short\u2010term":[170],"(1\u201324":[171],"h)":[172],"long\u2010term":[174],"(yearly)":[175],"forecasting.":[177],"has":[180],"notable":[182],"level":[183],"resilience":[185],"generating":[187],"predictions,":[189],"when":[191],"confronted":[192],"inadequate":[194],"or":[195],"noisy":[196],"input":[197],"aforementioned":[200],"results":[201],"highlight":[202],"potential":[204],"enhancing":[208],"forecasting":[210],"grids,":[213],"hence":[214],"enabling":[215],"efficient":[217],"mechanisms":[222],"sources.":[226],"This":[227],"study":[228],"offers":[229],"valuable":[230],"insights":[231],"presents":[233],"comprehensive":[235],"methodology":[236],"improving":[238],"estimation":[241],"contemporary":[243],"systems.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}