Big Data Analytics for Smart Grid: A Review on State-of-Art Techniques and Future Directions

Abstract

Due to rapid growth of smart grid technologies, massive amount of information is generated from different sources such as sensors, intelligent meters and other devices for monitoring. Big data analytics has emerged as a key technology for analyzing and visualizing this data, enabling utilities to enhance performance and sustainability of electrical systems. This chapter provides detailed review on state-of-art techniques for big data analytics with smart grids including data pre-processing, data mining and visualization. It also highlights the major challenges associated with big data analytics which includes data quality, security and discusses potential solutions to these challenges. Finally, future directions are identified for the same with aid of artificial intelligence and block chain technology.