Abstract:With the continuous deepening of the power system reform, providing differentiated energy efficiency services to customers has gradually become an important means for power supply companies to strive for a favorable position in the business environment. For high voltage power customers, based on the historical operation data of customers,this paper uses contour coefficient method to cluster and analyze five indicators, including meter reading period and payment method, that characterize customer operation, and divides the customers into three categories. Then, the conditional inference decision tree method was used to verify the clustering results, and the potential energy saving customers were selected reliably. On this basis, entropy theory is used to calculate the information gain of 19 energy saving indicators, such as basic electricity price and time-sharing electricity price, and 10 effective energy saving evaluation indicators are finally selected, and an energy saving evaluation index system is established to accurately locate the weak points of customers'' energy saving demands. On this basis, a three-level stepped energy-saving service strategy is proposed, which lays a foundation for the construction of energy efficiency service sharing platform serving the whole society. Finally, taking a customer as an example, the methods mentioned in the paper are verified one by one.