Critical Resource: Reservoirs are vital for shortage prevention and flood mitigation in the Rabat-Casablanca corridor.
Challenge: Climate change and drought frequency create massive hydrological uncertainties.
Gap: Physical models effective for short-term (1 month) but fail at medium-to-long term strategic planning.
Objective: Build a dynamic Deep Learning (LSTM) model to forecast Inflow (Nature) and Outflow (Demand).
No single model fits all variables. A robust system should use Bi-LSTM for Inflow (nature) and SARIMA for Outflow (demand).
Wavelet denoising is critical for improving the accuracy of noisy inflow data before feeding it into AI models