Horizon-Dependent Model Ranking Reversal in Short-Term Load Forecasting: A Controlled Benchmark of Deep Learning Architectures
Short-term electricity demand forecasting is essential for power grid stability and generation scheduling. Although forecasting models are commonly evaluated using one-step-ahead predictions, high accuracy at a short horizon does not necessarily imply robust performance when forecasts are recursively extended over long...