{"id":"https://openalex.org/W4391738567","doi":"https://doi.org/10.1007/s10462-023-10678-y","title":"Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting","display_name":"Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting","publication_year":2024,"publication_date":"2024-02-12","ids":{"openalex":"https://openalex.org/W4391738567","doi":"https://doi.org/10.1007/s10462-023-10678-y"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-023-10678-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-023-10678-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-023-10678-y.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-023-10678-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008319011","display_name":"M. Pavlov","orcid":"https://orcid.org/0000-0003-1090-6351"},"institutions":[{"id":"https://openalex.org/I4210087320","display_name":"Mining and Metallurgy Institute Bor","ror":"https://ror.org/001et3313","country_code":"RS","type":"facility","lineage":["https://openalex.org/I4210087320"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Marijana Pavlov-Kagadejev","raw_affiliation_strings":["Mining and Metallurgy Institute Bor, Zeleni bulevar 35, Bor, 19210, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mining and Metallurgy Institute Bor, Zeleni bulevar 35, Bor, 19210, Serbia","institution_ids":["https://openalex.org/I4210087320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068911769","display_name":"Luka Jovanovi\u0107","orcid":"https://orcid.org/0000-0001-9402-7391"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Luka Jovanovic","raw_affiliation_strings":["Technical Faculty, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical Faculty, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064081550","display_name":"Neboj\u0161a Ba\u010danin","orcid":"https://orcid.org/0000-0002-2062-924X"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Nebojsa Bacanin","raw_affiliation_strings":["Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051710693","display_name":"Muhammet Deveci","orcid":"https://orcid.org/0000-0002-3712-976X"},"institutions":[{"id":"https://openalex.org/I157637111","display_name":"Naval Academy","ror":"https://ror.org/05syseh24","country_code":"TR","type":"education","lineage":["https://openalex.org/I157637111"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]},{"id":"https://openalex.org/I56306041","display_name":"Lebanese American University","ror":"https://ror.org/00hqkan37","country_code":"LB","type":"education","lineage":["https://openalex.org/I56306041"]}],"countries":["GB","LB","TR"],"is_corresponding":false,"raw_author_name":"Muhammet Deveci","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon","Department of Industrial Engineering, Turkish Naval Academy, National Defence University, 34942, Tuzla, Istanbul, Turkey","The Bartlett School of Sustainable Construction, University College London, London, WC1E 6BT, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon","institution_ids":["https://openalex.org/I56306041"]},{"raw_affiliation_string":"Department of Industrial Engineering, Turkish Naval Academy, National Defence University, 34942, Tuzla, Istanbul, Turkey","institution_ids":["https://openalex.org/I157637111"]},{"raw_affiliation_string":"The Bartlett School of Sustainable Construction, University College London, London, WC1E 6BT, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072469505","display_name":"Miodrag \u017divkovi\u0107","orcid":"https://orcid.org/0000-0002-4351-068X"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Miodrag Zivkovic","raw_affiliation_strings":["Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067245090","display_name":"Milan Tuba","orcid":"https://orcid.org/0000-0003-3794-3056"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Milan Tuba","raw_affiliation_strings":["Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006488537","display_name":"Ivana Strumberger","orcid":"https://orcid.org/0000-0002-1154-6696"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Ivana Strumberger","raw_affiliation_strings":["Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia","institution_ids":["https://openalex.org/I170253739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003799782","display_name":"Witold Pedrycz","orcid":"https://orcid.org/0000-0002-9335-9930"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]},{"id":"https://openalex.org/I4210121333","display_name":"Istinye University","ror":"https://ror.org/03081nz23","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210121333"]},{"id":"https://openalex.org/I66083562","display_name":"Systems Research Institute","ror":"https://ror.org/0111cp837","country_code":"PL","type":"facility","lineage":["https://openalex.org/I66083562","https://openalex.org/I99542240"]},{"id":"https://openalex.org/I99542240","display_name":"Polish Academy of Sciences","ror":"https://ror.org/01dr6c206","country_code":"PL","type":"government","lineage":["https://openalex.org/I99542240"]}],"countries":["CA","PL","TR"],"is_corresponding":false,"raw_author_name":"Witold Pedrycz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Faculty of Engineering, University of Alberta, 9211 116, Street NW, Edmonton, AB, T6G 1H9, Canada","The Faculty of Engineering and Natural Sciences, Department of Computer Engineering, Istinye University, Sariyer/Istanbul, Turkey","The Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Faculty of Engineering, University of Alberta, 9211 116, Street NW, Edmonton, AB, T6G 1H9, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"The Faculty of Engineering and Natural Sciences, Department of Computer Engineering, Istinye University, Sariyer/Istanbul, Turkey","institution_ids":["https://openalex.org/I4210121333"]},{"raw_affiliation_string":"The Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland","institution_ids":["https://openalex.org/I66083562","https://openalex.org/I99542240"]}]}],"institutions":[],"countries_distinct_count":6,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5064081550"],"corresponding_institution_ids":["https://openalex.org/I170253739"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":{"value":3090,"currency":"USD","value_usd":3090},"fwci":9.937,"has_fulltext":true,"cited_by_count":79,"citation_normalized_percentile":{"value":0.99053803,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"57","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":0.9965000152587891,"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/T10320","display_name":"Neural Networks and Applications","score":0.9822999835014343,"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/computer-science","display_name":"Computer science","score":0.8188011646270752},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.7381018400192261},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6945675611495972},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.6752191781997681},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6570952534675598},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47487351298332214},{"id":"https://openalex.org/keywords/renewable-energy","display_name":"Renewable energy","score":0.41497641801834106},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.410582959651947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36728382110595703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34015846252441406}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8188011646270752},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.7381018400192261},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6945675611495972},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.6752191781997681},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6570952534675598},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47487351298332214},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.41497641801834106},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.410582959651947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36728382110595703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34015846252441406},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-023-10678-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-023-10678-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-023-10678-y.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-023-10678-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-023-10678-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-023-10678-y.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329307","display_name":"Science Fund of the Republic of Serbia","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391738567.pdf"},"referenced_works_count":87,"referenced_works":["https://openalex.org/W1523741643","https://openalex.org/W1989092102","https://openalex.org/W2000950277","https://openalex.org/W2000982976","https://openalex.org/W2007221293","https://openalex.org/W2016944307","https://openalex.org/W2024518622","https://openalex.org/W2031217530","https://openalex.org/W2043845271","https://openalex.org/W2064675550","https://openalex.org/W2081770709","https://openalex.org/W2096166399","https://openalex.org/W2143517586","https://openalex.org/W2144317842","https://openalex.org/W2149848331","https://openalex.org/W2151554678","https://openalex.org/W2152195021","https://openalex.org/W2155279365","https://openalex.org/W2157833270","https://openalex.org/W2232317135","https://openalex.org/W2275988060","https://openalex.org/W2290883490","https://openalex.org/W2612690371","https://openalex.org/W2909846570","https://openalex.org/W2919979744","https://openalex.org/W2920974156","https://openalex.org/W2941816398","https://openalex.org/W2942443328","https://openalex.org/W2958872067","https://openalex.org/W2963103847","https://openalex.org/W2996713777","https://openalex.org/W2999092792","https://openalex.org/W3003152171","https://openalex.org/W3003976313","https://openalex.org/W3007040893","https://openalex.org/W3041675466","https://openalex.org/W3041850017","https://openalex.org/W3045832254","https://openalex.org/W3085735257","https://openalex.org/W3086051222","https://openalex.org/W3089243611","https://openalex.org/W3094310242","https://openalex.org/W3112455820","https://openalex.org/W3114266307","https://openalex.org/W3118658682","https://openalex.org/W3119051141","https://openalex.org/W3132384190","https://openalex.org/W3132882148","https://openalex.org/W3148089430","https://openalex.org/W3158809276","https://openalex.org/W3164271353","https://openalex.org/W3171374279","https://openalex.org/W3176530730","https://openalex.org/W3194627252","https://openalex.org/W3204137849","https://openalex.org/W3204530799","https://openalex.org/W3212797097","https://openalex.org/W4210648699","https://openalex.org/W4211248338","https://openalex.org/W4224237294","https://openalex.org/W4237754293","https://openalex.org/W4241727697","https://openalex.org/W4281756816","https://openalex.org/W4283024376","https://openalex.org/W4283721511","https://openalex.org/W4285670724","https://openalex.org/W4285798423","https://openalex.org/W4289526362","https://openalex.org/W4289635928","https://openalex.org/W4292083457","https://openalex.org/W4292356656","https://openalex.org/W4293053892","https://openalex.org/W4294559022","https://openalex.org/W4306154355","https://openalex.org/W4308509827","https://openalex.org/W4308531312","https://openalex.org/W4308574566","https://openalex.org/W4309744061","https://openalex.org/W4313494551","https://openalex.org/W4313645265","https://openalex.org/W4318831034","https://openalex.org/W4319310744","https://openalex.org/W4323313783","https://openalex.org/W4324285131","https://openalex.org/W4379014934","https://openalex.org/W4379470826","https://openalex.org/W4386211808"],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2140186469","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W2775233965","https://openalex.org/W4318559728","https://openalex.org/W4360995913","https://openalex.org/W4312193868","https://openalex.org/W4308165509"],"abstract_inverted_index":{"Abstract":[0],"Power":[1],"supply":[2],"from":[3],"renewable":[4],"energy":[5],"is":[6],"an":[7,32],"important":[8],"part":[9],"of":[10,75,172,184],"modern":[11],"power":[12,55],"grids.":[13],"Robust":[14],"methods":[15],"for":[16,53,127],"predicting":[17],"production":[18,23,114],"are":[19],"required":[20],"to":[21,26,99,139],"balance":[22],"and":[24,67,124,130,187],"demand":[25],"avoid":[27],"losses.":[28],"This":[29],"study":[30,168],"proposed":[31,104],"approach":[33],"that":[34,150],"incorporates":[35],"signal":[36],"decomposition":[37,126],"techniques":[38],"with":[39,116,125],"Long":[40],"Short-Term":[41],"Memory":[42],"(LSTM)":[43],"neural":[44],"networks":[45,59,141],"tuned":[46,105,142],"via":[47],"a":[48,72],"modified":[49,73,86],"metaheuristic":[50],"algorithm":[51,79],"used":[52],"wind":[54,113],"generation":[56],"forecasting.":[57],"LSTM":[58,106,140],"perform":[60],"notably":[61,154],"well":[62],"when":[63],"addressing":[64],"time-series":[65],"prediction,":[66],"further":[68],"hyperparameter":[69],"tuning":[70],"by":[71,143,162,181],"version":[74],"the":[76,100,151,163,173,182,185,193],"reptile":[77],"search":[78],"(RSA)":[80],"can":[81],"help":[82],"improve":[83],"performance.":[84],"The":[85,103,119],"RSA":[87],"was":[88,148,159],"first":[89],"evaluated":[90],"against":[91,111],"standard":[92],"CEC2019":[93],"benchmark":[94],"instances":[95],"before":[96],"being":[97],"applied":[98],"practical":[101],"challenge.":[102],"model":[107],"has":[108,191],"been":[109,137],"tested":[110],"two":[112],"datasets":[115],"hourly":[117],"resolutions.":[118],"predictions":[120],"were":[121],"executed":[122],"without":[123],"one,":[128],"two,":[129],"three":[131],"steps":[132],"ahead.":[133],"Simulation":[134],"outcomes":[135],"have":[136],"compared":[138],"other":[144,156],"cutting-edge":[145],"metaheuristics.":[146],"It":[147],"observed":[149,178],"introduced":[152],"methodology":[153],"exceed":[155],"contenders,":[157],"as":[158],"later":[160],"confirmed":[161],"statistical":[164],"analysis.":[165],"Finally,":[166],"this":[167],"also":[169],"provides":[170],"interpretations":[171],"best-performing":[174],"models":[175],"on":[176,192],"both":[177],"datasets,":[179],"accompanied":[180],"analysis":[183],"importance":[186],"impact":[188],"each":[189],"feature":[190],"predictions.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":31}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}