A note on averaging day-ahead electricity price forecasts across calibration windows

We propose a novel concept in energy forecasting and show that averaging day-ahead electricity price forecasts of a predictive model across 28- to 728-day calibration windows yields better results than selecting only one 'optimal' window length. Even more significant accuracy gains can be achieved by averaging over a few, carefully selected windows.