Short term adaptive prediction of railway power demand
Abstract
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.
- Publication:
-
NASA STI/Recon Technical Report N
- Pub Date:
- December 1981
- Bibcode:
- 1981STIN...8313375V
- Keywords:
-
- Electric Power Supplies;
- Prediction Analysis Techniques;
- Rail Transportation;
- Supplying;
- Linear Prediction;
- Operations Research;
- Self Adaptive Control Systems;
- Stochastic Processes;
- Electronics and Electrical Engineering