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.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Short Term Adaptive Prediction of Railway Power Demand


    Contributors:

    Publication date :

    1981


    Size :

    28 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Prediction of railway power demand

    Bij, J.D. van der / Schuppen, J.H. van | Tema Archive | 1983


    Short-Term Strong Wind Risk Prediction for High-Speed Railway

    Liu, Haoyu / Liu, Chen / He, Shibo et al. | IEEE | 2021



    Prediction Modeling of Railway Short-Term Passenger Flow Based on Random Forest Regression

    Li, Li-hui / Zhu, Jian-sheng / Shan, Xing-hua et al. | British Library Conference Proceedings | 2019


    Prediction Modeling of Railway Short-Term Passenger Flow Based on Random Forest Regression

    Li, Li-hui / Zhu, Jian-sheng / Shan, Xing-hua et al. | Springer Verlag | 2018