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Big data analytics in smart grids: a review

机译：智能电网中的大数据分析：回顾

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摘要

Data analytics are now playing a more important role in the modern industrial systems. Driven by the development of information and communication technology, an information layer is now added to the conventional electricity transmission and distribution network for data collection, storage and analysis with the help of wide installation of smart meters and sensors. This paper introduces the big data analytics and corresponding applications in smart grids. The characterizations of big data, smart grids as well as huge amount of data collection are firstly discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids. Basic concepts and the procedures of the typical data analytics for general problems are also discussed. The advanced applications of different data analytics in smart grids are addressed as the main part of this paper. By dealing with huge amount of data from electricity network, meteorological information system, geographical information system etc., many benefits can be brought to the existing power system and improve the customer service as well as the social welfare in the era of big data. However, to advance the applications of the big data analytics in real smart grids, many issues such as techniques, awareness, synergies, etc., have to be overcome.
机译：数据分析现在在现代工业系统中扮演着更重要的角色。在信息和通信技术的发展推动下，现在已在常规电力传输和配电网络中增加了一个信息层，以通过广泛安装智能电表和传感器来进行数据收集，存储和分析。本文介绍了智能电网中的大数据分析及相应应用。首先讨论大数据，智能网格的特征以及大量数据的收集，以说明在智能网格中实施高级数据分析的动机和潜在优势。还讨论了针对一般问题的典型数据分析的基本概念和过程。本文主要部分讨论了智能电网中不同数据分析的高级应用。通过处理来自电网，气象信息系统，地理信息系统等的大量数据，可以为现有的电力系统带来许多好处，并改善大数据时代的客户服务以及社会福利。但是，要推进大数据分析在实际智能电网中的应用，必须克服许多问题，例如技术，意识，协同作用等。

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