Optimal sampling frequency ensures accurate solar energy forecasting by balancing data granularity and system efficiency
Top Performing Model by Cost Efficiency Score
Identifying the highest-performing model based on a balance of accuracy and cost efficiency.
Model fit: R2 Performance Overview
R² tells us how well the model’s predictions match the actual results—the higher the number, the better it works.
Model Efficiency: Error vs Accuracy Trade-off
Visualizing the balance between model accuracy and prediction error to assess overall efficiency.
Model Accuracy & Error by Sample Frequency
Comparing accuracy and error metrics across different sampling frequencies to evaluate model performance trends and the model’s accuracy changes with how often data is collected—too little or too much can affect the results.