In response to the shortcomings of low calculation efficiency,long calculation time,and large storage scale of power grid data in the regional highly interconnected offshore oil and gas field under shore power mode,this article aims to improve the efficiency of shore power data processing work,achieves data information collaboration and sharing among multiple institutions based on cloud platform.A reasonable logistic regression is used to predict the regression characteristics of the electricity consumption data based on the scale of the obtained information.This method not only ensures the accuracy of data processing in the entire system,but also reduces the complexity of the classification algorithm.The experiments show that the power data processing method for shore power engineering based on cloud platform has high reliability and stability,which can meet the growing demand for power data in shore power projects and provide technical support for the practical application of shore power systems.
维普
万方数据
