The Big Data-Driven Electric Power Energy Information Collection and Processing System and Application Practices
With the rapid development of smart grid,the increasing amount of electricity consumption data in the power system continues,making the collection and data analysis of power energy information become more and more challenging.In order to improve the efficiency of power system management and control,this paper adopts distributed architecture,big data cloud platform and Back Propagation(BP)neural network algorithm and other analysis methods to efficiently process electricity data.An whole system including components of big data cloud platform,intermediate library,production library and Internet of Things platform is designed to ensure safe transmission of data,and the system is applied to optimize line loss management and solve load forecasting problems.This study provides effective guidance for the intelligent development of the power system,and lays a solid foundation for the future development of the power industry.
power energy informationbig datainformation collection and processing
NETL
NSTL
万方数据
