Smart Electricity Meter Monitoring and Prediction using iSocket

The ever increasing demand for power has driven many natural resources on the verge of depletion. The threat now poses over the renewable sources of power which are not yet developed to the extent of completely working in a self-sufficient manner. In such a case, optimal power sharing and efficient energy consumption is called into practice. The smart meter here, serves the purpose of continuously monitoring energy consumption and informing the user when it exceeds a set limit. In this paper, an application is developed along with a hardware module coined `i-Socket' which is used to track the energy consumed by each device in a house and thus estimates the monthly electricity bill. Now, in this system, the user can set a monthly desired bill and as the energy consumption approaches the set limit, the user is notified through the software application. Also, this system employs an algorithm which sets the monitoring rate of a connected device to the socket based on the type of device and thus, is itself an energy efficient device. The current sensor employed for this purpose is ACS712 sensor and the microcontroller used is Arduino UNO to control the hardware units. A Boost converter is used for the power supply to the sensing devices and controllers. The software application is developed for monitoring electricity bills. System takes input of present data of current, and predicts meter reading for the following months. It gives predictions of items to be used at a specific time frame based on its power consumption.