Big Data Issues in Smart Grids: A Survey

被引：58

作者：

Ghorbanian, Maedeh ^{[1
]}

Dolatabadi, Sarineh Hacopian ^{[1
]}

Siano, Pierluigi ^{[2
]}

机构：

[1] Isfahan Univ Technol, Dept Elect & Comp Engn, Esfahan 8415683111, Iran

[2] Univ Salerno, Dept Management & Innovat Syst, I-84084 Fisciano, Italy

来源：

IEEE SYSTEMS JOURNAL | 2019年 / 13卷 / 04期

关键词：

Big data; energy; Internet of Things; smart grids (SGs); survey; ENERGY MANAGEMENT; WIND-SPEED; LOAD; GENERATION; INTERNET; MODEL; CLASSIFICATION; PREDICTION; ANALYTICS; NETWORKS;

D O I：

10.1109/JSYST.2019.2931879

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The smart power systems are based upon information and communication technologies, which lead to a deluge of data originating from various sources. To address these challenges concerning accumulated voluminous data, big data analysis in smart power systems is inevitable. This article comprehensively surveys the literature related to the big data issues in smart power systems. The background and motivation of the big data paradigm in smart power systems are first provided, and then the major issues related to the architectures, the key technologies, and standardizations of big data analytics in smart power systems are analyzed. Also, the potential applications of big data in smart power systems based upon the state-of-the-art research are highlighted. Finally, the future issues and challenges of the big data issues in modern power systems are discussed.

引用

页码：4158 / 4168

页数：11

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