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eNauka >  Results >  On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting
Title: On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting
Authors: N. Bacanin  ; C. Stoean; M. Zivkovic  ; M. Rakic; R. Strulak-Wójcikiewicz; R. Stoean
Issue Date: 2023
Publication: Energies
ISSN: 1996-1073 Energies Search Idenfier
Type: Article
Collation: vol. 16 br. 3 str. 1434-1434
DOI: 10.3390/en16031434
WoS-ID: 000930157800001
Scopus-ID: 2-s2.0-85147974127
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/9246
https://enauka.gov.rs/handle/123456789/715360
URL: https://www.mdpi.com/1996-1073/16/3/1434
M-category: 
23M23

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