Methodological Approach

Methodological Approach

1. Phase 1 – Data Preparation and Assembly

   • Step 1.1 - Collection and Integration of Data
   • Step 1.2 - Validation of Precipitation Series
   • Step 1.3 - Data Curation and Preprocessing
   • Step 1.4 – Construction of the Modeling Database

2. Phase 2 – Exploratory Analysis and Variable Definition

   • Step 2.1 – Descriptive statistics and trend analysis
   • Step 2.2 – Correlation analysis
   • Step 2.3 – Definition of predictor variable sets

3. Phase 3 – Direct Machine Learning Models

   • Step 3.1 – Cross‑validation Testing
   • Step 3.2 – Testing on the Real Period

4. Phase Final - Comparative Analysis and Discussion of Results

5. Phase 4 – Experiments with Hybrid Models (Wavelet + LSTM)

   • Step 3.1 – Cross‑validation Testing
   • Step 3.2 – Testing on the Real Period