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.
Short Term Adaptive Prediction of Railway Power Demand
1981
28 pages
Report
Keine Angabe
Englisch
Prediction of railway power demand
Tema Archiv | 1983
|Prediction Modeling of Railway Short-Term Passenger Flow Based on Random Forest Regression
British Library Conference Proceedings | 2019
|Wiley | 2021
|Prediction Modeling of Railway Short-Term Passenger Flow Based on Random Forest Regression
Springer Verlag | 2018
|