A novel neural network based approach to forecast spikes and prices is presented.
Spike prices are forecasted using another neural network.
Day-ahead forecasting for one of the most volatile markets is carried out.
Data mining techniques are used to select input features.
Forecasting performance is measured in terms of MAPE, RMSE and MAE.