The Application of Forecasting Algorithms on Electric Vehicle Power Load

The autoregressive model algorithm (ARA) of time series analysis and reverse transmission neural network algorithm (BPA) of machine learning were used in this paper, and applied the load forecasting of electric vehicle (EV), through studying and analysing of different algorithms, aiming at certain domestic city electric vehicle charging station has carried on the short-term load forecast, compared of prediction results of the two ways, the simulation results show that different algorithm also have different effects in the short-term load forecasting, therefore, according to different system to select appropriate learning algorithm is particularly important.