The invention provides an electric power credit evaluation method based on big data, and relates to an evaluation method. An existing credit evaluation system only based on a traditional quantitative analysis method cannot meet requirements of an electric power company to dig data value, undertake a customer credit rating system, and realize responsibility of enterprise derivative value at present. The electric power credit evaluation method comprises a data preparation step, an index system construction step, a model construction step, a model verification step and a model output step. According to the technical scheme, systematic cleaning and analysis are performed on a large number of historical data such as customer basic information, payment behavior, electricity using behavior and social credit information, an implicit behavior model and credit characteristics in the data are dug by applying a mathematical statistics method and a BP neural network model improved by genetic algorithm, a relationship between historical information and credit performance is captured, the credit performance is synthetically evaluated by a credit level, classified credit management of electric power customers is advanced, and differentiated arrears collection measure research work is supported and carried out to form a diversified collection strategy.