reviewIEEE AccessJan 1, 2019GOLD OA

Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review

Oregon Institute of Technology · Bangladesh University of Engineering and Technology · +2 more institutions

Indexed incrossrefdoaj

Abstract

This paper conducts a comprehensive study on the application of big data and machine learning in the electrical power grid introduced through the emergence of the next-generation power system-the smart grid (SG). Connectivity lies at the core of this new grid infrastructure, which is provided by the Internet of Things (IoT). This connectivity, and constant communication required in this system, also introduced a massive data volume that demands techniques far superior to conventional methods for proper analysis and decision-making. The IoT-integrated SG system can provide efficient load forecasting and data acquisition technique along with cost-effectiveness. Big data analysis and machine learning techniques…

Citation impact

495
total citations
FWCI
40.80
Percentile
100%
References
224
Citations per year

Authors

5

Topics & keywords

Keywords
  • Computer science
  • Big data
  • Smart grid
  • Key (lock)
  • Internet of Things
  • Computer security
  • Grid
  • Electric power system
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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