Short Term Adaptive Prediction of Railway Power Demand

摘要

The short-term prediction problem is considered for power demand at railway energy supply stations of the Dutch national railway company. A model and an adaptive prediction algorithm are presented. The algorithm is based on a selftuning predictor for the output of a Gaussian system.