Open access
Aug 2026
Lag-Based Feature Engineering for One-Hour-Ahead Wind Speed Prediction Using Artificial Neural Networks
The results show that using lagged variables allows the model to learn the temporal dependencies of wind speed more effectively and produce competitive RMSE-based prediction performance, while the persistence model remains competitive according to MAE and R.
Aslıhan Şair, Zeynep Bala Duranay
· Applied Sciences · 0 citations