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eNauka >  Rezultati >  Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data
Naziv: Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data
Autori: Ciobanu, Alexandru-Adrian; Bacanin, Nebojsa  ; Stoean, Catalin
Godina: 2026
Publikacija: ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2025, PT II
ISSN: 0302-9743 Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Pretraži identifikator
Tip rezultata: Konferencijski rad
Kolacija: vol. 16009 str. 466-477
DOI: 10.1007/978-3-032-02728-3_37
WoS-ID: 001672967700037
Scopus-ID: 2-s2.0-105019645232
URI: https://enauka.gov.rs/handle/123456789/1032389
Projekat: European Commission [101069750, COFUND-CETP 40/2024]
UEFISCDI PNCDI IV
Izvor metapodataka: (Preuzeto iz Nasi u WoS)
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