Power Demand Prediction of Battery Overhead Line Buses based on a Neural Network Optimization

This short paper presents concisely one of the main topics of a research project, concerning the sustainable linking between traffic and energy management - deployed at Solingen (North Rhine-Westphalia - Germany). Therefore, Battery Overhead Line Buses (BOB) were regarded as moving energy storages which allows a flexible usage of these capacities to harmonize the general grid load of the catenary. The power demand prediction, which is necessary for a daily energy consumption forecast and related regulation algorithms, is being realized by a neural network.