{'fraction_non_alphanumeric': 0.011204481792717087, 'fraction_numerical': 0.003734827264239029, 'mean_word_length': 5.871794871794871, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Calculation Method of Electric Vehicle Power Consumption Based on Naive Bayes Classification

Electric vehicle charging load forecasting is the basis of charging station planning and construction and electric vehicle dispatching. Electric vehicle power consumption calculation is an important part of load forecasting. This paper proposes a method for calculating the power consumption of electric vehicles based on Naive Bayesian classification. Firstly, the problems faced by electric vehicle power consumption calculation and the application of naive Bayesian classification in electric vehicle power consumption calculation are analyzed. Then, based on the principle of Naive Bayesian classification, a calculation model of electric vehicle power consumption is established. Finally, based on some electric vehicle travel data in Nanjing in June 2021, simulation calculations are performed using Python software. The simulation results show that the proposed method has high accuracy in calculating the power consumption of electric vehicles and is simple to operate.