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eNauka >  Results >  Optimizing Lightweight Recurrent Networks for Solar Forecasting in TinyML: Modified Metaheuristics and Legal Implications
Title: Optimizing Lightweight Recurrent Networks for Solar Forecasting in TinyML: Modified Metaheuristics and Legal Implications
Authors: G. Popovic; Z. Spalevic  ; L. Jovanovic ; M. Zivkovic  ; L. Stosic  ; N. Bacanin  
Issue Date: 2024
Publication: Energies
ISSN: 1996-1073 Energies Search Idenfier
Type: Article
Collation: vol. 18 br. 1 str. 105-105
DOI: 10.3390/en18010105
WoS-ID: 001393584100001
Scopus-ID: 2-s2.0-85214512942
URI: https://enauka.gov.rs/handle/123456789/957518
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10905
URL: https://www.mdpi.com/1996-1073/18/1/105
M-category: 
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