📈 Time Series Forecasting Process
Prophet pour prédictions energy consumption et trend analysis
Pipeline Prophet
┌────────────────────────────────┐
│ 📊 Historical Data (12mo+) │
│ Energy consumption timeseries│
└──────────────┬─────────────────┘
│
▼
┌──────────────────────┐
│ 🔍 Data Preparation │
│ • Cleaning │
│ • Interpolation │
│ • Outlier detection │
└──────────┬───────────┘
│
▼
┌──────────────────────┐
│ 🤖 Prophet Model │
│ • Trend detection │
│ • Seasonality │
│ • Holiday effects │
└──────────┬───────────┘
│
▼
┌──────────────────────┐
│ 📈 Forecast Gen │
│ • 6-month horizon │
│ • Confidence bands │
│ • Uncertainty ±5% │
└──────────┬───────────┘
│
▼
┌──────────────────────┐
│ ✅ Validation │──► Predictions
│ • Accuracy check │
│ • Drift detection │
└──────────────────────┘💡 Key Features
- Automatic Seasonality: Détection journalière, hebdomadaire, annuelle
- Trend Analysis: Croissance +20.8% over 6 months
- Confidence Intervals: 95% → 78% declining with horizon
- Robustness: Handles missing data and outliers gracefully
📊 Architecture Visualisations
Deployment Timeline
Value Evolution Forecast
Environmental Impact Analysis
