{"id":"https://openalex.org/W4210644201","doi":"https://doi.org/10.1109/appeec50844.2021.9687681","title":"Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) Power Forecasting","display_name":"Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) Power Forecasting","publication_year":2021,"publication_date":"2021-11-21","ids":{"openalex":"https://openalex.org/W4210644201","doi":"https://doi.org/10.1109/appeec50844.2021.9687681"},"language":"en","primary_location":{"id":"doi:10.1109/appeec50844.2021.9687681","doi":"https://doi.org/10.1109/appeec50844.2021.9687681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/appeec50844.2021.9687681","pdf_url":null,"source":{"id":"https://openalex.org/S7407088421","display_name":"Asia-Pacific Power and Energy Engineering Conference (APPEEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5005344933","display_name":"Maha Alsabban","orcid":"https://orcid.org/0009-0003-6508-4102","observed_orcids":["https://orcid.org/0009-0003-6508-4102"]},"institutions":[{"id":"https://openalex.org/I125656591","display_name":"Effat University","ror":"https://ror.org/02cnwgt19","country_code":"SA","type":"education","lineage":["https://openalex.org/I125656591"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Maha S. Alsabban","raw_affiliation_strings":["Effat University,Electrical and Computer Engineering,Jeddah,KSA","Electrical and Computer Engineering, Effat University, Jeddah, KSA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Effat University,Electrical and Computer Engineering,Jeddah,KSA","institution_ids":["https://openalex.org/I125656591"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Effat University, Jeddah, KSA","institution_ids":["https://openalex.org/I125656591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042856430","display_name":"Nema Salem","orcid":"https://orcid.org/0000-0002-8440-4111","observed_orcids":["https://orcid.org/0000-0002-8440-4111"]},"institutions":[{"id":"https://openalex.org/I125656591","display_name":"Effat University","ror":"https://ror.org/02cnwgt19","country_code":"SA","type":"education","lineage":["https://openalex.org/I125656591"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Nema Salem","raw_affiliation_strings":["Effat University,Electrical and Computer Engineering,Jeddah,KSA","Electrical and Computer Engineering, Effat University, Jeddah, KSA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Effat University,Electrical and Computer Engineering,Jeddah,KSA","institution_ids":["https://openalex.org/I125656591"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Effat University, Jeddah, KSA","institution_ids":["https://openalex.org/I125656591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012093244","display_name":"Hebatullah M. Malik","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I125656591","display_name":"Effat University","ror":"https://ror.org/02cnwgt19","country_code":"SA","type":"education","lineage":["https://openalex.org/I125656591"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hebatullah M. Malik","raw_affiliation_strings":["Effat University,Electrical and Computer Engineering,Jeddah,KSA","Electrical and Computer Engineering, Effat University, Jeddah, KSA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Effat University,Electrical and Computer Engineering,Jeddah,KSA","institution_ids":["https://openalex.org/I125656591"]},{"raw_affiliation_string":"Electrical and Computer Engineering, Effat University, Jeddah, KSA","institution_ids":["https://openalex.org/I125656591"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I125656591"],"apc_list":null,"apc_paid":null,"fwci":2.3123,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87409851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9984999895095825,"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":0.9984999895095825,"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/T10603","display_name":"Smart Grid Energy Management","score":0.000699999975040555,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/power-generation-forecasting","display_name":"power output prediction","score":0.625},{"id":"https://openalex.org/keywords/household-electricity-consumption","display_name":"household electricity consumption","score":0.8460000157356262},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.8080000281333923},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.9350000023841858},{"id":"https://openalex.org/keywords/load-demand-prediction","display_name":"load demand prediction","score":0.7360000014305115},{"id":"https://openalex.org/keywords/time-series-forecasting","display_name":"time series forecasting","score":0.6520000100135803},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"renewable energy","score":0.6549999713897705},{"id":"https://openalex.org/keywords/saudi-arabia","display_name":"Saudi Arabia","score":0.6349999904632568},{"id":"https://openalex.org/keywords/energy-sustainability","display_name":"energy sustainability","score":0.5220000147819519}],"concepts":[{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.8889906406402588},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.8886476755142212},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.779262900352478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6256275177001953},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5115166902542114},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.4832397401332855},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.43406978249549866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42119792103767395},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38146573305130005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3422453701496124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17136672139167786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/appeec50844.2021.9687681","doi":"https://doi.org/10.1109/appeec50844.2021.9687681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/appeec50844.2021.9687681","pdf_url":null,"source":{"id":"https://openalex.org/S7407088421","display_name":"Asia-Pacific Power and Energy Engineering Conference (APPEEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9853000044822693,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"},{"score":0.821399986743927,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"},{"score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1203447945","https://openalex.org/W1994319104","https://openalex.org/W2028376765","https://openalex.org/W2029469881","https://openalex.org/W2095705004","https://openalex.org/W2105281013","https://openalex.org/W2158442843","https://openalex.org/W2168138569","https://openalex.org/W2493771485","https://openalex.org/W2742473260","https://openalex.org/W2750941888","https://openalex.org/W2754252319","https://openalex.org/W2908693127","https://openalex.org/W2989823323","https://openalex.org/W2997970006","https://openalex.org/W3011349791","https://openalex.org/W3020874133","https://openalex.org/W3036727266","https://openalex.org/W3036797880","https://openalex.org/W3084643678","https://openalex.org/W4398664355"],"related_works":["https://openalex.org/W7124757858","https://openalex.org/W4379385922","https://openalex.org/W2848988532","https://openalex.org/W4405184703","https://openalex.org/W4386525521","https://openalex.org/W4366958769","https://openalex.org/W3217621162","https://openalex.org/W3097627214","https://openalex.org/W4406356499","https://openalex.org/W2945292445"],"abstract_inverted_index":{"The":[0,127,154,169],"geographical":[1],"position":[2],"of":[3,6,55,95,176,181],"the":[4,20,46,65,75,93,96,117,131,137,149,178,182],"Kingdom":[5],"Saudi":[7,195],"Arabia":[8,196],"has":[9],"significant":[10],"potentials":[11],"for":[12,23,58,80,146,152,156],"utilizing":[13],"renewable":[14],"energy":[15,32,190],"resources,":[16],"which":[17],"aligns":[18],"with":[19],"country's":[21],"vision":[22],"2030.":[24],"This":[25],"paper":[26],"proposes":[27],"a":[28],"solution":[29],"to":[30,73,123],"achieve":[31],"sustainability":[33],"by":[34,98],"forecasting":[35,133],"future":[36],"load":[37],"demands":[38],"through":[39],"adopting":[40],"three":[41],"different":[42,81],"scenarios.":[43],"We":[44,63],"used":[45,143],"outsourced":[47],"Individual":[48],"Household":[49],"Electric":[50],"Power":[51],"Consumption":[52],"Dataset,":[53],"University":[54],"California-Irvine":[56],"repository,":[57],"testing":[59],"our":[60],"proposed":[61],"system.":[62],"utilized":[64],"Long":[66],"Short-term":[67],"Memory-Recurrent":[68],"Neural":[69],"Network":[70],"(LSTM-RNN)":[71],"algorithm":[72],"estimate":[74],"whole":[76],"house":[77],"power":[78,180],"consumption":[79],"horizons:":[82],"every":[83],"15":[84],"minutes,":[85],"daily,":[86],"weekly,":[87],"and":[88,148,166,184],"monthly.":[89],"Next,":[90],"we":[91,115],"evaluated":[92],"performance":[94],"system":[97],"Mean":[99,103,108,118],"Absolute":[100,119],"Error":[101,105,110,121],"(MAE),":[102,161],"Squared":[104],"(MSE),":[106,163],"Root":[107],"Square":[109],"(RMSE),":[111,165],"and$R^{2}$score":[112],"metrics.":[113],"Then,":[114],"applied":[116],"Percentage":[120],"(MAPE)":[122],"find":[124],"its":[125,174],"accuracy.":[126],"results":[128],"showed":[129],"that":[130,157],"monthly":[132],"interpretation":[134],"scenario":[135,142],"was":[136],"best":[138],"performing":[139],"model.":[140],"That":[141],"(n-1)":[144],"months":[145],"training":[147],"last":[150],"month":[151],"testing.":[153],"scores":[155],"model":[158,171],"were":[159],"0.034":[160,164],"0.001":[162],"97.16%":[167],"(accuracy).":[168],"constructed":[170],"successfully":[172],"achieved":[173],"goals":[175],"predicting":[177],"active":[179],"household":[183],"now":[185],"can":[186],"be":[187],"accommodated":[188],"on":[189],"applications":[191],"not":[192],"only":[193],"in":[194,199],"but":[197],"also":[198],"any":[200],"other":[201],"country.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-02-08T00:00:00"}