A Machine Learning based Consumer Power Management System using Smart Grid

In recent years, the electricity crisis has increased day by day due to the huge number of electrical appliances being used by the public in their daily lives. Due to this, consumer demand is a very important parameter in power management systems. Hence, to overcome the above drawbacks, a proposed machine learning-based consumer power management system (MLCPMS) in the smart grid is used to analyse electricity consumption and bill generation with respect to the daily basis. As per simulation analysis, the proposed consumer power management (CPM) algorithm showed better performance as compared to the conventional electrical digital metre with respect to electricity consumption and bill analysis.