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In this paper, according to "Electric Vehicle Charging Infrastructure Development Guide" (2015-2020) planning and "The Plan of Distribution Network Construction and Transformation" (2015-2020), intelligent ant colony algorithm and Monte Carlo algorithm is used to predict respectively the total electricity loads of electric vehicles and characteristic of whether the loads are in line with the curve in a region. Predicted results have certain reference value for the study of the future growth of China's electric vehicle charging load.

Electric Vehicle Charging Load Forecasting Based on ACO and Monte Carlo Algorithms