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Intelligent Identification of Potential Customers for Electricity Substitution

This paper proposes an intelligent method for the identification of potential customers for electricity substitution. This is developed on the basis of an original model, where a related indicator system of potential customers is constructed through exploratory analysis, improving the results. At the same time, ANOVA is used to screen the indicators and the XGBoost algorithm is employed to output the index importance score and identify likely electricity substitution customers. This method can accurately identify such customers, accelerate the fundamental transformation of energy development, and adapt to the new strategy of Energy Internet development.