{"id":"https://openalex.org/W4282547147","doi":"https://doi.org/10.3390/s22124446","title":"Hyperparameter Optimization of Bayesian Neural Network Using Bayesian Optimization and Intelligent Feature Engineering for Load Forecasting","display_name":"Hyperparameter Optimization of Bayesian Neural Network Using Bayesian Optimization and Intelligent Feature Engineering for Load Forecasting","publication_year":2022,"publication_date":"2022-06-12","ids":{"openalex":"https://openalex.org/W4282547147","doi":"https://doi.org/10.3390/s22124446","pmid":"https://pubmed.ncbi.nlm.nih.gov/35746227"},"language":"en","primary_location":{"id":"doi:10.3390/s22124446","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22124446","pdf_url":"https://www.mdpi.com/1424-8220/22/12/4446/pdf?version=1655188822","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/12/4446/pdf?version=1655188822","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103054219","display_name":"M. Zulfiqar","orcid":"https://orcid.org/0000-0002-1624-3045"},"institutions":[{"id":"https://openalex.org/I127670440","display_name":"Bahauddin Zakariya University","ror":"https://ror.org/05x817c41","country_code":"PK","type":"education","lineage":["https://openalex.org/I127670440"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"M. Zulfiqar","raw_affiliation_strings":["Department of Telecommunication Systems, Bahauddin Zakariya University, Multan 60000, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-1624-3045","affiliations":[{"raw_affiliation_string":"Department of Telecommunication Systems, Bahauddin Zakariya University, Multan 60000, Pakistan","institution_ids":["https://openalex.org/I127670440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063171116","display_name":"Kelum A. A. Gamage","orcid":"https://orcid.org/0000-0002-4832-3373"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Kelum A. A. Gamage","raw_affiliation_strings":["James Watt School of Engineering, James Watt South Building, University of Glasgow, Glasgow G12 8QQ, UK"],"raw_orcid":"https://orcid.org/0000-0002-4832-3373","affiliations":[{"raw_affiliation_string":"James Watt School of Engineering, James Watt South Building, University of Glasgow, Glasgow G12 8QQ, UK","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010036582","display_name":"Muhammad Kamran","orcid":"https://orcid.org/0000-0001-9137-3037"},"institutions":[{"id":"https://openalex.org/I142732210","display_name":"University of Engineering and Technology Lahore","ror":"https://ror.org/0051w2v06","country_code":"PK","type":"education","lineage":["https://openalex.org/I142732210"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"M. Kamran","raw_affiliation_strings":["Department of Electrical Engineering, University of Engineering and Technology, Lahore 54000, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Engineering and Technology, Lahore 54000, Pakistan","institution_ids":["https://openalex.org/I142732210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066113045","display_name":"Maria Rasheed","orcid":null},"institutions":[{"id":"https://openalex.org/I189268942","display_name":"Universidad de Alcal\u00e1","ror":"https://ror.org/04pmn0e78","country_code":"ES","type":"education","lineage":["https://openalex.org/I189268942"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. B. Rasheed","raw_affiliation_strings":["Escuela Polit\u00e9cnica Superior, Universidad de Alcal\u00e1, ISG, 28805 Alcal\u00e1 de Henares, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escuela Polit\u00e9cnica Superior, Universidad de Alcal\u00e1, ISG, 28805 Alcal\u00e1 de Henares, Spain","institution_ids":["https://openalex.org/I189268942"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063171116"],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":4.5242,"has_fulltext":true,"cited_by_count":61,"citation_normalized_percentile":{"value":0.95426905,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"22","issue":"12","first_page":"4446","last_page":"4446"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9915000200271606,"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/feature-selection","display_name":"Feature selection","score":0.6127358675003052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5418021082878113},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.532662034034729},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5298038721084595},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.5225638747215271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4973907768726349},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.4716341197490692},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45825472474098206},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.45295509696006775},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3956551253795624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37816596031188965},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3499454855918884}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6127358675003052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5418021082878113},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.532662034034729},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5298038721084595},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.5225638747215271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4973907768726349},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4716341197490692},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45825472474098206},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.45295509696006775},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3956551253795624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37816596031188965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3499454855918884},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s22124446","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22124446","pdf_url":"https://www.mdpi.com/1424-8220/22/12/4446/pdf?version=1655188822","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35746227","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35746227","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:eprints.gla.ac.uk:274634","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Articles"},{"id":"pmh:oai:doaj.org/article:888a26ee73b24aa2b5d487e79fd5412e","is_oa":true,"landing_page_url":"https://doaj.org/article/888a26ee73b24aa2b5d487e79fd5412e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 12, p 4446 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/12/4446/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22124446","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 12; Pages: 4446","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9231108","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9231108","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22124446","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22124446","pdf_url":"https://www.mdpi.com/1424-8220/22/12/4446/pdf?version=1655188822","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4282547147.pdf","grobid_xml":"https://content.openalex.org/works/W4282547147.grobid-xml"},"referenced_works_count":79,"referenced_works":["https://openalex.org/W1577818368","https://openalex.org/W1595159159","https://openalex.org/W1720804347","https://openalex.org/W1968510399","https://openalex.org/W1976213122","https://openalex.org/W1979373126","https://openalex.org/W1987938889","https://openalex.org/W2005898567","https://openalex.org/W2014270852","https://openalex.org/W2021252908","https://openalex.org/W2026854676","https://openalex.org/W2035737123","https://openalex.org/W2048817830","https://openalex.org/W2059698575","https://openalex.org/W2067754509","https://openalex.org/W2072690957","https://openalex.org/W2075299467","https://openalex.org/W2076163358","https://openalex.org/W2090425484","https://openalex.org/W2095705004","https://openalex.org/W2108953357","https://openalex.org/W2109169458","https://openalex.org/W2111051539","https://openalex.org/W2131241448","https://openalex.org/W2139701068","https://openalex.org/W2145349634","https://openalex.org/W2165627882","https://openalex.org/W2169466896","https://openalex.org/W2258177229","https://openalex.org/W2296948037","https://openalex.org/W2297334139","https://openalex.org/W2313169588","https://openalex.org/W2313656875","https://openalex.org/W2392534055","https://openalex.org/W2394184881","https://openalex.org/W2484938157","https://openalex.org/W2510931397","https://openalex.org/W2523477444","https://openalex.org/W2552991604","https://openalex.org/W2559879705","https://openalex.org/W2586259521","https://openalex.org/W2591025119","https://openalex.org/W2591426394","https://openalex.org/W2597866042","https://openalex.org/W2601171548","https://openalex.org/W2622770036","https://openalex.org/W2691864041","https://openalex.org/W2727300753","https://openalex.org/W2736391747","https://openalex.org/W2792531619","https://openalex.org/W2796601240","https://openalex.org/W2805023304","https://openalex.org/W2810878542","https://openalex.org/W2811488527","https://openalex.org/W2823906716","https://openalex.org/W2883971393","https://openalex.org/W2888909529","https://openalex.org/W2906033034","https://openalex.org/W2909670596","https://openalex.org/W2911092109","https://openalex.org/W2963507686","https://openalex.org/W2965068690","https://openalex.org/W3000558406","https://openalex.org/W3023969710","https://openalex.org/W3029326408","https://openalex.org/W3032940147","https://openalex.org/W3107979244","https://openalex.org/W3168130740","https://openalex.org/W3179767622","https://openalex.org/W4229504054","https://openalex.org/W4233091538","https://openalex.org/W4292477447","https://openalex.org/W6604772522","https://openalex.org/W6674330103","https://openalex.org/W6698792829","https://openalex.org/W6740512805","https://openalex.org/W6752670246","https://openalex.org/W6792394162","https://openalex.org/W7043680386"],"related_works":["https://openalex.org/W4233965824","https://openalex.org/W2607442583","https://openalex.org/W3199199693","https://openalex.org/W4286970057","https://openalex.org/W2967237190","https://openalex.org/W3028852288","https://openalex.org/W4323366554","https://openalex.org/W2405673391","https://openalex.org/W4292388060","https://openalex.org/W2200000192"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,24,51,66,99,119,172,189],"new":[4],"hybrid":[5,52],"framework":[6,115],"for":[7,82],"short-term":[8,161],"load":[9,136],"forecasting":[10],"(STLF)":[11],"by":[12,39,106],"combining":[13],"the":[14,41,79,86,95,108,134,140,147,180,186,195],"Feature":[15],"Engineering":[16],"(FE)":[17],"and":[18,35,45,71,101,125,166,171,193],"Bayesian":[19,25,87],"Optimization":[20,88],"(BO)":[21,89],"algorithms":[22],"with":[23,153,188],"Neural":[26],"Network":[27],"(BNN).":[28],"The":[29,112,127,176],"FE":[30],"module":[31,81],"comprises":[32],"feature":[33,53,63],"selection":[34],"extraction":[36],"phases.":[37],"Firstly,":[38],"merging":[40],"Random":[42],"Forest":[43],"(RaF)":[44],"Relief-F":[46],"(ReF)":[47],"algorithms,":[48],"we":[49],"developed":[50],"selector":[54],"based":[55],"on":[56,133],"grey":[57],"correlation":[58],"analysis":[59,74],"(GCA)":[60],"to":[61,93,121],"eliminate":[62],"redundancy.":[64],"Secondly,":[65],"radial":[67],"basis":[68],"Kernel":[69],"function":[70],"principal":[72],"component":[73],"(KPCA)":[75],"are":[76,150],"integrated":[77],"into":[78],"feature-extraction":[80],"dimensional":[83],"reduction.":[84],"Thirdly,":[85],"algorithm":[90],"is":[91,131],"used":[92],"fine-tune":[94],"control":[96],"parameters":[97],"of":[98],"BNN":[100],"provides":[102],"more":[103],"accurate":[104,165],"results":[105,149,177],"avoiding":[107],"optimal":[109],"local":[110],"trapping.":[111],"proposed":[113,128,181],"FE-BNN-BO":[114,129],"works":[116],"in":[117],"such":[118,157],"way":[120],"ensure":[122],"stability,":[123],"convergence,":[124],"accuracy.":[126],"model":[130,182],"tested":[132],"hourly":[135],"data":[137],"obtained":[138],"from":[139],"PJM,":[141],"USA,":[142],"electricity":[143],"market.":[144],"In":[145],"addition,":[146],"simulation":[148],"also":[151],"compared":[152],"other":[154],"benchmark":[155],"models":[156],"as":[158],"Bi-Level,":[159],"long":[160],"memory":[162],"(LSTM),":[163],"an":[164],"fast":[167,190],"convergence-based":[168],"ANN":[169,174],"(ANN-AFC),":[170],"mutual-information-based":[173],"(ANN-MI).":[175],"show":[178],"that":[179],"has":[183],"significantly":[184],"improved":[185],"accuracy":[187],"convergence":[191],"rate":[192],"reduced":[194],"mean":[196],"absolute":[197],"percent":[198],"error":[199],"(MAPE).":[200]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}