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Chapter 8
Big data, privacy and security
in smart grids
Chapter outline
8.1 Introduction 309 8.4 Overview of smart grid
8.2 Overview of big data 312 privacy 326
8.2.1 Big data generation 313 8.4.1 Threats and challenges
8.2.2 Data acquisition and in privacy 329
storage 314 8.4.2 Privacy preserving
8.2.3 IoT and big data 315 methods 330
8.3 Big data analysis methods 319 8.4.3 Privacy enhancing
8.3.1 Data mining methods 320 applications 331
8.3.2 Machine learning in References 332
big data analytics 324
8.1 Introduction
The big data is a recent and trend term referring to data mass obtained from
several digital sources such as sensors, transducers, mobile devices and com-
puters, internet, and so on. The rapid improvement of sensor technologies, wire-
less sensor networks and digital media, huge amounts of dataset have been
generated by any communication platform. In addition to data types and high
volumes, the raw data collection produces enormous data sizes that are required
to be analyzed and meaningful outcomes to be generated. The conventional data
processing methods such as model based analysis and decoupling systems are
based on assumptions and summarizing approaches. The developments of dig-
ital technologies and artificial intelligence have leveraged data processing pro-
cedures from conventional approaches to much more accelerated and
sophisticated processing systems. The data processing algorithms of recent
technologies are based on 4Vs or 5Vs features of data that are volume, velocity,
variety, veracity and value in big data processing.
The volume of data which is first V in this approach grows exponentially due
to massive data sources and generates excessive databases that are hard to be
processed by using traditional methods. The second V, velocity, implies gener-
ation and data transmission speed along internet-based sources. Variety denotes
diversity of data types and forms while veracity refers to quality, accuracy, and
From Smart Grid to Internet of Energy. https://doi.org/10.1016/B978-0-12-819710-3.00008-9
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