Analytics
Exploratory data analysis of historical electricity demand and machine learning model performance evaluation.
Model Evaluation
Performance metrics for the Linear Regression forecasting model
R² Score
0.9575
Excellent fit — model explains 95.75% of variance
RMSE
12.4 TWh
Root Mean Square Error
MAE
8.9 TWh
Mean Absolute Error
R² Score
0.9575
Excellent fit — model explains 95.75% of variance
RMSE
12.4 TWh
Root Mean Square Error
MAE
8.9 TWh
Mean Absolute Error
scikit-learn LinearRegression — trained on 1990–2024 dataset