Prediction Model of Power Grid Project Duration Based on BP Neural Network

Abstract

With the continuous progress of science and technology, artificial intelligence has emerged and received widespread attention. At present, it has been applied in many fields. In order to realize the prediction of power grid construction project duration, this paper proposes a prediction model of power grid construction project duration based on BP neural network. Firstly, the characteristics of the power grid project are analyzed and the influencing factors that have a great influence on the project duration are summarized. Secondly, according to the construction characteristics of the power grid project, the whole project is divided into several stages, and each stage is subdivided into several processes. Thirdly, according to the construction stage of the power grid project and the division of the process, the number of nodes in each layer of the BP neural network is designed, and the effectiveness of the method is demonstrated by engineering examples. Finally, it is concluded that the model has certain value in the prediction of the duration of the power grid project.