Time Series Analysis of Electric Vehicle Charging Station Layout Based on LSTM Model

Conventional charging station layout methods are mainly based on historical charging data planning and do not take into account the charging needs of electric vehicles, which affects the rationality of charging station layout. Therefore, a time series analysis method for electric vehicle charging station layout based on LSTM model was designed. The spatiotemporal distribution characteristics of electric vehicle charging station layout are extracted from the aspects of multiple periodicity, long-term trend, special time influence, etc. Based on the LSTM model, the electric vehicle charging demand is predicted in the charging station layout time series, taking into account the total cost of electric vehicle users and the service balance of each charging station, and using forgetting gates, input gates, and output gates to solve the long-term dependence of time series analysis. problem to ensure the rationality of the charging station layout. Comparative experiments were conducted to verify that the charging station layout of this method is more reasonable and can be applied in real life.