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

A. Perçuku, I. Stankov
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引用次数: 1

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.
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基于图形数据库的风电系统天气预报
现代电力系统正在通过使用可以从不同设备产生大量数据的新技术而发展。大数据技术和数据分析可用于电力系统,以改善天气数据参数的预测。更好的气象数据预测对电力系统规划设计和优化调整具有重要意义。本文的目的是利用Neo4j图算法库来改进风力发电系统天气数据的预测。
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