Smart power consumption management and alert system using IoT on big data

Abstract

People nowadays are ignoring the usage of electricity and its cost by preferring different kinds of appliances. Rising energy costs and demand have led to many too smart ways of tracking, managing, and monitoring an organization's energy saving. To keep the consumer aware and to limit excess power usage, this paper proposes a smart power consumption tracking and warning system. This unit would warn the consumer of the amount of its use. That will show the overall power units used and left in the steady slab categories by the given time. It aims to design a circuit which helps the user to take control of power consumption with the additional cost by improving smart electrical energy-saving method. Improvements of all changes have a large effect on the reduction of the user's bill costs. The user is aware of the consumption of power and the remaining units available accordingly. Users will get daily usage of power via message and also by web page while switched off. Big data analytics will allow smarter decisions to be taken through timely and reliable insights using machine learning and predictive analytics. Information collected from all residents stored in the Big Data server. A Smart Energy Management System (SEMS) will help to minimize expenses as still summit energy insist. Internet of Things (IoT) and Big Data strategies have used residential, agricultural, and industrial consumption to manage electricity in a better way.