Streamflow Forecasting: A Comparative Analysis of ARIMAX, Rolling Forecasting LSTM Neural Network and Physically Based Models in a Pristine Catchment
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Perazzolo, D.; Lazzaro, G.; Fiume, A.; Fanton, P.; Grisan, E. Streamflow Forecasting: A Comparative Analysis of ARIMAX, Rolling Forecasting LSTM Neural Network and Physically Based Models in a Pristine Catchment. Water 2025, 17, 2341. https://doi.org/10.3390/w17152341
Perazzolo D, Lazzaro G, Fiume A, Fanton P, Grisan E. Streamflow Forecasting: A Comparative Analysis of ARIMAX, Rolling Forecasting LSTM Neural Network and Physically Based Models in a Pristine Catchment. Water. 2025; 17(15):2341. https://doi.org/10.3390/w17152341
Chicago/Turabian StylePerazzolo, Diego, Gianluca Lazzaro, Alvise Fiume, Pietro Fanton, and Enrico Grisan. 2025. "Streamflow Forecasting: A Comparative Analysis of ARIMAX, Rolling Forecasting LSTM Neural Network and Physically Based Models in a Pristine Catchment" Water 17, no. 15: 2341. https://doi.org/10.3390/w17152341
APA StylePerazzolo, D., Lazzaro, G., Fiume, A., Fanton, P., & Grisan, E. (2025). Streamflow Forecasting: A Comparative Analysis of ARIMAX, Rolling Forecasting LSTM Neural Network and Physically Based Models in a Pristine Catchment. Water, 17(15), 2341. https://doi.org/10.3390/w17152341