A Meta-Learning Approach for Hydrological Time Series Model Selection

Time series forecasting is crucial in various fields, with significant socio-economic implications, as accurate predictions can aid in better resource management, disaster preparedness, and economic planning. However, selecting an appropriate forecasting model remains a labor-intensive task demandin