IMPORTANCE OF BIG DATA ANALYTICS IN POWER GENERATION FOR SMART GRID

Abstract

Smart Grids (SGs) are emerging as a powerful network designed to solve the existing problem of power output in conventional power grids by sharing relevant knowledge between the different SG components in real-time. It is very difficult to run and takes a great deal of effort to incorporate Big Data analytics for successful power grid architecture and installation at the moment. Due to the changing complexity of electricity grids and the requirement to manage resources in real time, the persistent combination of data analytics in power supply management and activities is quite important. Big data plays a more fundamental role in modern technological structures. Guided by the growth of communication technology and the information layer, a wide range of smart metres and detectors have now been added to the traditional electric power distribution network for data collection, processing and evaluation. In the power grid sector, big data appears to have the potential to disable innovative new possibilities, maximising a range of technical, political, and financial profits.