{"id":"https://openalex.org/W4318049640","doi":"https://doi.org/10.3390/s23031357","title":"How Does Neural Network Model Capacity Affect Photovoltaic Power Prediction? A Study Case","display_name":"How Does Neural Network Model Capacity Affect Photovoltaic Power Prediction? A Study Case","publication_year":2023,"publication_date":"2023-01-25","ids":{"openalex":"https://openalex.org/W4318049640","doi":"https://doi.org/10.3390/s23031357","pmid":"https://pubmed.ncbi.nlm.nih.gov/36772397"},"language":"en","primary_location":{"id":"doi:10.3390/s23031357","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031357","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1357/pdf?version=1674659846","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/1424-8220/23/3/1357/pdf?version=1674659846","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081399590","display_name":"Carlos Henrique Torres de Andrade","orcid":"https://orcid.org/0000-0003-4065-5004"},"institutions":[{"id":"https://openalex.org/I79889768","display_name":"Universidade Federal de Alagoas","ror":"https://ror.org/00dna7t83","country_code":"BR","type":"education","lineage":["https://openalex.org/I79889768"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Carlos Henrique Torres de Andrade","raw_affiliation_strings":["Computing Institute, A. C. Sim\u00f5es Campus, Federal University of Alagoas\u2014UFAL, Macei\u00f3 57072-970, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-4065-5004","affiliations":[{"raw_affiliation_string":"Computing Institute, A. C. Sim\u00f5es Campus, Federal University of Alagoas\u2014UFAL, Macei\u00f3 57072-970, Brazil","institution_ids":["https://openalex.org/I79889768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078610076","display_name":"Gustavo Melo","orcid":"https://orcid.org/0000-0002-4111-8721"},"institutions":[{"id":"https://openalex.org/I79889768","display_name":"Universidade Federal de Alagoas","ror":"https://ror.org/00dna7t83","country_code":"BR","type":"education","lineage":["https://openalex.org/I79889768"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gustavo Costa Gomes de Melo","raw_affiliation_strings":["Computing Institute, A. C. Sim\u00f5es Campus, Federal University of Alagoas\u2014UFAL, Macei\u00f3 57072-970, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-4111-8721","affiliations":[{"raw_affiliation_string":"Computing Institute, A. C. Sim\u00f5es Campus, Federal University of Alagoas\u2014UFAL, Macei\u00f3 57072-970, Brazil","institution_ids":["https://openalex.org/I79889768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001876458","display_name":"Tiago Vieira","orcid":"https://orcid.org/0000-0002-5202-2477"},"institutions":[{"id":"https://openalex.org/I79889768","display_name":"Universidade Federal de Alagoas","ror":"https://ror.org/00dna7t83","country_code":"BR","type":"education","lineage":["https://openalex.org/I79889768"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Tiago Figueiredo Vieira","raw_affiliation_strings":["Center of Agrarian Sciences, Engineering and Agricultural Sciences Campus, Federal University of Alagoas\u2014UFAL, Rio Largo 57100-000, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Agrarian Sciences, Engineering and Agricultural Sciences Campus, Federal University of Alagoas\u2014UFAL, Rio Largo 57100-000, Brazil","institution_ids":["https://openalex.org/I79889768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101477320","display_name":"\u00cdcaro Bezerra Queiroz de Ara\u00fajo","orcid":"https://orcid.org/0000-0002-6769-4946"},"institutions":[{"id":"https://openalex.org/I79889768","display_name":"Universidade Federal de Alagoas","ror":"https://ror.org/00dna7t83","country_code":"BR","type":"education","lineage":["https://openalex.org/I79889768"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"\u00cdcaro Bezzera Queiroz de Ara\u00fajo","raw_affiliation_strings":["Computing Institute, A. C. Sim\u00f5es Campus, Federal University of Alagoas\u2014UFAL, Macei\u00f3 57072-970, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6769-4946","affiliations":[{"raw_affiliation_string":"Computing Institute, A. C. Sim\u00f5es Campus, Federal University of Alagoas\u2014UFAL, Macei\u00f3 57072-970, Brazil","institution_ids":["https://openalex.org/I79889768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025519781","display_name":"Allan Martins","orcid":"https://orcid.org/0000-0002-9486-4509"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Allan de Medeiros Martins","raw_affiliation_strings":["Electrical Engineering Department, Center of Technology, Federal University of Rio Grande do Norte\u2014UFRN, Natal 59072-970, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Center of Technology, Federal University of Rio Grande do Norte\u2014UFRN, Natal 59072-970, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072777975","display_name":"Igor Cavalcante Torres","orcid":"https://orcid.org/0000-0003-0643-737X"},"institutions":[{"id":"https://openalex.org/I79889768","display_name":"Universidade Federal de Alagoas","ror":"https://ror.org/00dna7t83","country_code":"BR","type":"education","lineage":["https://openalex.org/I79889768"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Igor Cavalcante Torres","raw_affiliation_strings":["Center of Agrarian Sciences, Engineering and Agricultural Sciences Campus, Federal University of Alagoas\u2014UFAL, Rio Largo 57100-000, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-0643-737X","affiliations":[{"raw_affiliation_string":"Center of Agrarian Sciences, Engineering and Agricultural Sciences Campus, Federal University of Alagoas\u2014UFAL, Rio Largo 57100-000, Brazil","institution_ids":["https://openalex.org/I79889768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069205621","display_name":"Davi Bibiano Brito","orcid":"https://orcid.org/0000-0002-6389-4895"},"institutions":[{"id":"https://openalex.org/I79889768","display_name":"Universidade Federal de Alagoas","ror":"https://ror.org/00dna7t83","country_code":"BR","type":"education","lineage":["https://openalex.org/I79889768"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Davi Bibiano Brito","raw_affiliation_strings":["Computing Institute, A. C. Sim\u00f5es Campus, Federal University of Alagoas\u2014UFAL, Macei\u00f3 57072-970, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6389-4895","affiliations":[{"raw_affiliation_string":"Computing Institute, A. C. Sim\u00f5es Campus, Federal University of Alagoas\u2014UFAL, Macei\u00f3 57072-970, Brazil","institution_ids":["https://openalex.org/I79889768"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048243472","display_name":"Alana Kelly Xavier Santos","orcid":"https://orcid.org/0000-0003-1520-1385"},"institutions":[{"id":"https://openalex.org/I79889768","display_name":"Universidade Federal de Alagoas","ror":"https://ror.org/00dna7t83","country_code":"BR","type":"education","lineage":["https://openalex.org/I79889768"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alana Kelly Xavier Santos","raw_affiliation_strings":["Center of Agrarian Sciences, Engineering and Agricultural Sciences Campus, Federal University of Alagoas\u2014UFAL, Rio Largo 57100-000, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-1520-1385","affiliations":[{"raw_affiliation_string":"Center of Agrarian Sciences, Engineering and Agricultural Sciences Campus, Federal University of Alagoas\u2014UFAL, Rio Largo 57100-000, Brazil","institution_ids":["https://openalex.org/I79889768"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5081399590"],"corresponding_institution_ids":["https://openalex.org/I79889768"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.1906,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89712964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"23","issue":"3","first_page":"1357","last_page":"1357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.8002359867095947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7319658398628235},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7116350531578064},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6772342920303345},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5886074304580688},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5463287830352783},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5303331613540649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5086089372634888},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46505460143089294},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.46219852566719055},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4510464370250702},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.44968053698539734},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4390336871147156},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3303039073944092},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14137181639671326},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07302352786064148}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.8002359867095947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7319658398628235},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7116350531578064},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6772342920303345},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5886074304580688},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5463287830352783},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5303331613540649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5086089372634888},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46505460143089294},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.46219852566719055},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4510464370250702},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.44968053698539734},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4390336871147156},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3303039073944092},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14137181639671326},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07302352786064148},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23031357","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031357","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1357/pdf?version=1674659846","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:36772397","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36772397","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:pubmedcentral.nih.gov:9920211","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9920211","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9920211/pdf/sensors-23-01357.pdf","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"},{"id":"pmh:oai:doaj.org/article:972dcbee106c48b9986134368f61d3a2","is_oa":true,"landing_page_url":"https://doaj.org/article/972dcbee106c48b9986134368f61d3a2","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 23, Iss 3, p 1357 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/3/1357/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23031357","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 23; Issue 3; Pages: 1357","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23031357","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031357","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1357/pdf?version=1674659846","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":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4318049640.pdf"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1966391855","https://openalex.org/W1977362693","https://openalex.org/W2033406960","https://openalex.org/W2062989416","https://openalex.org/W2070826863","https://openalex.org/W2083397465","https://openalex.org/W2244087156","https://openalex.org/W2245942605","https://openalex.org/W2412523952","https://openalex.org/W2470699557","https://openalex.org/W2524035252","https://openalex.org/W2590910929","https://openalex.org/W2751698537","https://openalex.org/W2760948241","https://openalex.org/W2766507774","https://openalex.org/W2787516525","https://openalex.org/W2790021805","https://openalex.org/W2802229284","https://openalex.org/W2888165363","https://openalex.org/W2894480095","https://openalex.org/W2903221148","https://openalex.org/W2921835983","https://openalex.org/W2935877504","https://openalex.org/W3012038956","https://openalex.org/W3014704122","https://openalex.org/W3105282433","https://openalex.org/W3123933050","https://openalex.org/W3143204426","https://openalex.org/W4200238335","https://openalex.org/W4212928315","https://openalex.org/W4220954082","https://openalex.org/W4251742697","https://openalex.org/W6751572009","https://openalex.org/W6833387226"],"related_works":["https://openalex.org/W1663203009","https://openalex.org/W2076543106","https://openalex.org/W3128856671","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W2523437662","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456"],"abstract_inverted_index":{"The":[0],"use":[1,42,70],"of":[2,5,9,21,71,86,89,95,103,135],"models":[3],"capable":[4],"forecasting":[6],"the":[7,17,46,69,84,96,99,107,133,148],"production":[8],"photovoltaic":[10,90],"(PV)":[11],"energy":[12,23,91],"is":[13],"essential":[14],"to":[15,50,67,119,131,156],"guarantee":[16],"best":[18,134],"possible":[19],"integration":[20],"this":[22,38,63],"source":[24],"into":[25],"traditional":[26],"distribution":[27],"grids.":[28],"Long":[29],"Short-Term":[30],"Memory":[31],"networks":[32,73],"(LSTMs)":[33],"are":[34],"commonly":[35],"used":[36,130],"for":[37,83,178],"purpose,":[39],"but":[40],"their":[41,51],"may":[43],"not":[44],"be":[45,164],"better":[47,166],"option":[48,167],"due":[49],"great":[52],"computational":[53,184],"complexity":[54],"and":[55,58,81,112,138,158],"slower":[56],"inference":[57],"training":[59],"time.":[60],"Thus,":[61],"in":[62,121,175,180],"work,":[64],"we":[65],"seek":[66],"evaluate":[68],"neural":[72],"MLPs":[74],"(Multilayer":[75],"Perceptron),":[76],"Recurrent":[77],"Neural":[78],"Networks":[79],"(RNNs),":[80],"LSTMs,":[82],"forecast":[85,174],"5":[87],"min":[88,102],"production.":[92],"Each":[93],"iteration":[94],"predictions":[97],"uses":[98],"last":[100],"120":[101],"data":[104],"collected":[105],"from":[106,117],"PV":[108,113],"system":[109],"(power,":[110],"irradiation,":[111],"cell":[114],"temperature),":[115],"measured":[116],"2019":[118],"mid-2022":[120],"Macei\u00f3":[122],"(Brazil).":[123],"In":[124],"addition,":[125],"Bayesian":[126],"hyperparameters":[127],"optimization":[128],"was":[129],"obtain":[132],"each":[136],"model":[137],"compare":[139],"them":[140],"on":[141],"an":[142],"equal":[143],"footing.":[144],"Results":[145],"showed":[146],"that":[147,161],"MLP":[149],"performs":[150],"satisfactorily,":[151],"requiring":[152],"much":[153],"less":[154],"time":[155],"train":[157],"forecast,":[159],"indicating":[160],"they":[162],"can":[163],"a":[165,171],"when":[168],"dealing":[169],"with":[170,182],"very":[172],"short-term":[173],"specific":[176],"contexts,":[177],"example,":[179],"systems":[181],"little":[183],"resources.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
