{"id":"https://openalex.org/W4406264406","doi":"https://doi.org/10.1109/icset63729.2024.10774732","title":"Enhancing Solar Energy Forecasting Accuracy Using LSTM Networks for Global Horizontal Irradiance","display_name":"Enhancing Solar Energy Forecasting Accuracy Using LSTM Networks for Global Horizontal Irradiance","publication_year":2024,"publication_date":"2024-10-02","ids":{"openalex":"https://openalex.org/W4406264406","doi":"https://doi.org/10.1109/icset63729.2024.10774732"},"language":"en","primary_location":{"id":"doi:10.1109/icset63729.2024.10774732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icset63729.2024.10774732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 14th International Conference on System Engineering and Technology (ICSET)","raw_type":"proceedings-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/A5115841631","display_name":"Ahmad Nurmizan Asyraf Mazmee","orcid":null},"institutions":[{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]},{"id":"https://openalex.org/I4210138650","display_name":"Universiti Teknologi MARA System","ror":"https://ror.org/030847t23","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210138650"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Ahmad Nurmizan Asyraf Mazmee","raw_affiliation_strings":["Universiti Teknologi MARA,College of Engineering,School of Electrical Engineering,Shah Alam,Selangor,MALAYSIA"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi MARA,College of Engineering,School of Electrical Engineering,Shah Alam,Selangor,MALAYSIA","institution_ids":["https://openalex.org/I82724352","https://openalex.org/I4210138650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002950551","display_name":"Norliza Zaini","orcid":"https://orcid.org/0000-0002-0851-3172"},"institutions":[{"id":"https://openalex.org/I4210138650","display_name":"Universiti Teknologi MARA System","ror":"https://ror.org/030847t23","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210138650"]},{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Norliza Zaini","raw_affiliation_strings":["Universiti Teknologi MARA,College of Engineering,School of Electrical Engineering,Shah Alam,Selangor,MALAYSIA"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi MARA,College of Engineering,School of Electrical Engineering,Shah Alam,Selangor,MALAYSIA","institution_ids":["https://openalex.org/I82724352","https://openalex.org/I4210138650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113950834","display_name":"Mohd Fuad Abdul Latip","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138650","display_name":"Universiti Teknologi MARA System","ror":"https://ror.org/030847t23","country_code":"MY","type":"education","lineage":["https://openalex.org/I4210138650"]},{"id":"https://openalex.org/I82724352","display_name":"Universiti Teknologi MARA","ror":"https://ror.org/05n8tts92","country_code":"MY","type":"education","lineage":["https://openalex.org/I82724352"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Fuad Abdul Latip","raw_affiliation_strings":["Universiti Teknologi MARA,College of Engineering,School of Electrical Engineering,Shah Alam,Selangor,MALAYSIA"],"affiliations":[{"raw_affiliation_string":"Universiti Teknologi MARA,College of Engineering,School of Electrical Engineering,Shah Alam,Selangor,MALAYSIA","institution_ids":["https://openalex.org/I82724352","https://openalex.org/I4210138650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115841631"],"corresponding_institution_ids":["https://openalex.org/I4210138650","https://openalex.org/I82724352"],"apc_list":null,"apc_paid":null,"fwci":0.7274,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78309819,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"174","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9814000129699707,"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"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9814000129699707,"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/irradiance","display_name":"Irradiance","score":0.7965298295021057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6418455839157104},{"id":"https://openalex.org/keywords/solar-irradiance","display_name":"Solar irradiance","score":0.5112428665161133},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4961744248867035},{"id":"https://openalex.org/keywords/solar-energy","display_name":"Solar energy","score":0.4822579026222229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38316041231155396},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.35364246368408203},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3208909034729004},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11311781406402588},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10745960474014282},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09997585415840149},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09913855791091919},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09267950057983398},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09139341115951538}],"concepts":[{"id":"https://openalex.org/C46423501","wikidata":"https://www.wikidata.org/wiki/Q830654","display_name":"Irradiance","level":2,"score":0.7965298295021057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6418455839157104},{"id":"https://openalex.org/C9695528","wikidata":"https://www.wikidata.org/wiki/Q7556707","display_name":"Solar irradiance","level":2,"score":0.5112428665161133},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4961744248867035},{"id":"https://openalex.org/C541104983","wikidata":"https://www.wikidata.org/wiki/Q40015","display_name":"Solar energy","level":2,"score":0.4822579026222229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38316041231155396},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.35364246368408203},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3208909034729004},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11311781406402588},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10745960474014282},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09997585415840149},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09913855791091919},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09267950057983398},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09139341115951538}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icset63729.2024.10774732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icset63729.2024.10774732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 14th International Conference on System Engineering and Technology (ICSET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.800000011920929,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1530649511","https://openalex.org/W3104379783","https://openalex.org/W2131174359","https://openalex.org/W4322211974","https://openalex.org/W2884263184","https://openalex.org/W2995848355","https://openalex.org/W1749313231","https://openalex.org/W3201088759","https://openalex.org/W2023949803","https://openalex.org/W1578057650"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"an":[3],"approach":[4],"for":[5,55,72,248,263],"enhancing":[6],"solar":[7,25,48,62,255],"energy":[8,26,34,42,176,256,265],"predictions":[9,183],"through":[10],"Long":[11],"Short-Term":[12],"Memory":[13],"(LSTM)":[14],"networks,":[15,95],"utilizing":[16],"Global":[17,127],"Horizontal":[18,133],"Irradiance":[19,129,134,139],"(GHI)":[20],"data.":[21,106],"The":[22,195,214],"generation":[23,177],"of":[24,47,61,142,173,189,254],"is":[27,53],"increasingly":[28],"vital":[29],"in":[30,77,81,104,168,192],"tackling":[31],"the":[32,38,57,73,164,186,226,242,250],"global":[33],"crisis":[35],"and":[36,59,118,136,155,208,232,252],"facilitating":[37],"shift":[39],"to":[40,70,88,100,184],"renewable":[41,264],"sources.":[43],"Thus,":[44],"accurate":[45,83],"forecasting":[46],"irradiance":[49],"trends,":[50],"especially":[51],"GHI,":[52],"essential":[54],"optimizing":[56],"efficiency":[58],"dependability":[60],"photovoltaic":[63,174],"(PV)":[64,175],"systems.":[65,266],"Current":[66],"techniques":[67],"often":[68],"struggle":[69],"account":[71],"intricate":[74],"temporal":[75],"relationships":[76],"GHI":[78,116,149,182],"data,":[79],"resulting":[80],"less":[82],"forecasts.":[84],"Our":[85],"study":[86],"aims":[87],"address":[89],"these":[90,190],"shortcomings":[91],"by":[92],"leveraging":[93],"LSTM":[94,239],"which":[96,143],"are":[97],"specifically":[98],"crafted":[99],"model":[101,228],"long-term":[102],"dependencies":[103],"time-series":[105],"We":[107],"explored":[108],"two":[109],"models:":[110],"one":[111,243],"relying":[112],"solely":[113],"on":[114,163,181],"historical":[115],"data":[117],"another":[119],"that":[120,217,238],"incorporates":[121],"additional":[122,219],"weather":[123],"factors":[124],"such":[125],"as":[126,259],"Tilt":[128],"(GTI),":[130],"temperature,":[131],"Diffuse":[132],"(DHI),":[135],"Direct":[137],"Normal":[138],"(DNI),":[140],"all":[141],"have":[144],"shown":[145],"strong":[146],"correlations":[147],"with":[148,200,225],"trends.":[150],"Both":[151],"models":[152,197],"were":[153,178,198],"trained":[154],"assessed":[156],"using":[157],"a":[158,260],"dataset":[159],"from":[160],"Solcast,":[161],"focusing":[162],"Shah":[165],"Alam":[166],"area":[167],"Malaysia.":[169],"In":[170],"addition,":[171],"simulations":[172],"conducted":[179],"based":[180],"illustrate":[185],"practical":[187],"use":[188],"forecasts":[191],"real-world":[193],"applications.":[194],"proposed":[196],"evaluated":[199],"performance":[201],"metrics":[202],"including":[203],"Mean":[204,210],"Absolute":[205],"Error":[206,212],"(MAE)":[207],"Root":[209],"Squared":[211],"(RMSE).":[213],"results":[215],"indicate":[216],"incorporating":[218],"meteorological":[220],"parameters":[221],"enhances":[222],"prediction":[223],"accuracy,":[224],"second":[227],"demonstrating":[229],"lower":[230],"training":[231],"validation":[233],"losses.":[234],"These":[235],"findings":[236],"imply":[237],"models,":[240],"like":[241],"proposed,":[244],"hold":[245],"significant":[246],"promise":[247],"improving":[249],"accuracy":[251],"reliability":[253],"forecasts,":[257],"serving":[258],"valuable":[261],"asset":[262]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
