Abstract
In order to fully tap the potential customers of integrated energy service and promote the development of integrated energy service and value realization, a target customer identification method of integrated energy service based on logistic regression algorithm is proposed. Firstly, the concept and scope of integrated energy service are elaborately discussed. Then, based on the existing business system data of power grid enterprises, a comprehensive evaluation index system for target customers of integrated energy service is constructed from four dimensions, including operation level, energy consumption intensity, risk credit, and external incentive. Subsequently, a classification prediction model for target customers based on logistic regression algorithm is presented to accurately identify target customers. Test results demonstrate the effectiveness of the proposed method, and the prediction model can provide reference for integrated energy service operators to optimize the allocation of marketing resources
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