Research on Smart Grid Load Forecasting Cloud Platform Based on Hadoop Architecture

Abstract

In view of the shortcomings and shortcomings of traditional smart grid load forecasting system, this paper uses Hadoop architecture to build cloud computing platform, optimizes the layout and architecture of the entire smart grid load forecasting cloud platform, and forms the main framework. The basic coordination model is used to carry out multi-level coordination and optimization service, and its practicability is proved by an example. Through the research on the framework of the smart grid load forecasting platform based on cloud computing, improving the level of load forecasting can deepen the application of cloud computing in power system, lay a solid foundation for smart grid dispatching and load balancing, and provide a strong guarantee for the stability analysis of online upgrade of the system.