Least Square Method and Monte Carlo Method to Predict the Number of Charging Piles

the popularity of automobile has changed people's travel mode and improved people's quality of life. However, it also faces increasingly severe environmental pollution and energy exhaustion. The advantages of new energy vehicles lie in their low emissions and low energy consumption. In the future, they will be connected to the power grid in the form of special charging stations, residential charging piles and household chargers. The planning and construction of charging piles play an important role in the development of new energy vehicles in a region, and the prediction of the number of charging piles in this region is particularly important. This paper puts forward a method to predict the number of charging piles, which can provide a more basic data for the planning and construction of charging piles. This prediction method first uses the least square method to predict the number of new energy vehicles, and then uses Monte Carlo method to estimate the number of charging piles in the peak period based on the predicted number of new energy vehicles, and obtains the threshold of the number of charging piles in the future.