Page 347 - From Smart Grid to Internet of Energy

Big data, privacy and security in smart grids Chapter 8 311

FIG. 8.1 Big data analytics in the smart grid.

also integrated to big data system in order to sustain data acquisition procedures.
The data analytics of smart grid which are listed into two fundamental aspects
as grid operation and customer operations. The data analytics required for grid
operation include load planning, generation scheduling, daily and monthly
forecasting for energy demand, outage and fault detection, cost analysis, asset
management, real-time analysis, theft and fraud detection, reliability and flex-
ibility measurements. The data analytics of customer side applications
are required to detect load flow, demand side management, trading and pay-
back operations, customer behavior analysis, customer DER monitoring, and
consumption analytics [4].
The big data analytics provide more precise results for management and
decision-making issues in smart grid applications. Although it enables to reach
several opportunities, big data brings several challenges on smart grid plane.
The main concerns are related with efficient data acquisition, storage and
management, analyzing and mining the collected data, producing meaningful
outcomes, and protection against vulnerabilities and intrusions for ensuring
the privacy. This chapter deals with big data properties, data analysis methods,
and their application in smart gird infrastructure. The big data privacy and smart
grid security are presented in the following titles where particular threats,
challenges, and privacy preserving applications are discussed in detail.