The researchers looked at how to predict electricity prices by considering how volatility changes over time. They used different models to see which one worked best, and found that including factors like fuel prices and predicted demand helped make more accurate predictions. They discovered that models that account for changing volatility perform better than those that assume volatility stays the same.