Comparative ocean temperature forecasting using SARIMA, ETS, and LSTM
Accurate ocean temperature forecasting is essential for understanding long-term environmental variability and supporting ecological decision-making. This study evaluates the performance of SARIMA (Seasonal Autoregressive Integrated Moving Average), ETS (Error Trend Seasonality), and LSTM (Long Short...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Croatian Statistical Association
2026-01-01
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| Col·lecció: | Croatian Review of Economic, Business and Social Statistics |
| Matèries: | |
| Accés en línia: | https://hrcak.srce.hr/file/503460 |
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