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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 |
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) | M-kategorija: | Mp kategorija će biti prikazana naknadno. |
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