The Prediction of Weather's Data for Wind, Power System Using Graph Database

Abstract

The modern power system is evolving by using new technologies that can produce wide amounts of data from different devices. Big Data technologies, and data analytics may be used in the power system to improve prediction of weather's data parameters. Better prediction of the weather data is important to design and adjust optimization of power system planning. The aim of this paper is to use Neo4j Graph Algorithms Library to improve the prediction of weather's data for wind power system.