Big Data Analytics in Smart Power Systems: A Survey Paper

Farhan Ahmad
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引用次数: 0

Abstract

In recent years, technology has brought us many advancements. One of them is integrating big data with smart grid/smart power. In this study, a scientific approach used to help the power system is studied. Additionally, with the help of previously published literature, different survey papers are reviewed to investigate the key challenges of integrating Big Data Analytics (BDA) with smart grid. Subsequently, BDA characteristics are also studied. Next, data analysis techniques and BDA applications in the domain of smart grids are studied. It is followed by a section discussing techniques such as Hadoop and Spark. Their framework is also briefly examined in order to know about their working. The last section provides a conclusion and future directions. KEYWORDS: advanced metering infrastructure (AMI), applications of big data, big data analytics (BDA), data architectures, data mining, data privacy, data security, data uncertainty, data volume,  hadoop, spark, Vz of the data,  smart grid, smart power system big  
智能电力系统中的大数据分析:调查报告
近年来,科技给我们带来了许多进步。其中之一是将大数据与智能电网/智能电力相结合。在本研究中,研究了一种科学的方法来帮助电力系统。此外,在先前发表的文献的帮助下,我们回顾了不同的调查论文,以调查将大数据分析(BDA)与智能电网集成的关键挑战。随后,对BDA特性进行了研究。其次,研究了数据分析技术和BDA在智能电网领域的应用。接下来的一节讨论了Hadoop和Spark等技术。为了了解它们的工作情况,还简要地检查了它们的框架。最后一部分给出了结论和未来的发展方向。关键词:高级计量基础设施(AMI)、大数据应用、大数据分析(BDA)、数据架构、数据挖掘、数据隐私、数据安全、数据不确定性、数据量、hadoop、spark、Vz数据、智能电网、大智能电力系统
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