Adaptive Energy Management of Big Data Analytics in Smart Grids

The smart grid (SG) ensures the flow of electricity and data between suppliers consumers. reliability security also play an important role in overall management. This can be achieved with help adaptive energy management (AEM). research aims to highlight big issues challenges faced by AEM employed SG networks. In this paper, we will discuss most commonly used processing methods give a detailed comparison outputs some these methods. We consider dataset 50,000 instances from consumer meters 10,000 attributes previous fault 12 attributes. tell us about reliability, stability, accuracy system comparing output various graphical plots percentage linear regression method is 98%; for logistic method, it 96%; K-Nearest Neighbors, 92%. results show that applied gives highest compared Neighbors prediction analysis SGs. ensure their use future field.