To create a Electricity Demand forecast for France on an hourly basis up to 48 hours ahead.
Dataset given had 5 years of historical data.
Used Regression and Time-series analysis.
**Time Series Algorithm used: **
- Seasonal ARIMA.
Regression Algorithms used :
- Linear Regression.
- K Nearest Neighbors (KNN) Regressor.
- Random Forest Regressor.
- XGBoost Regressor.
- AdaBoost Regressor.
- Decision Tree Regressor.
Accuracy
ARIMA (1,0,1) (1,0,1,12) - 98.92% XGBoost Regressor - 97.53% Random Forest Regressor - 96.62% K Nearest Neighbors Regressor - 95.06% Decision Tree Regressor - 92.90% AdaBoost Regressor - 82.90% Linear Regression - 72.20%