Self-Learning Electricity Monitoring & Budget Optimization System

Abstract

There has been a huge increase in the global demand for energy in recent years as a result of industrial development and population growth. Like other countries, Pakistan has also been facing electricity crisis. That's why there is a dire need of proposing a system that efficiently utilizes the resources and optimizes the budget. Self-Learning Electricity Monitoring & Budget Optimization System (SEMBO) is an amalgamation of software and hardware design which provides detailed information regarding the usage of electricity to consumers. It allows the users to measure, monitor and control energy consumption while adjusting their behavior to their target/ pre-determined consumption of energy. The users can also see and set their saving plans. In order to gain maximum benefit from the system, the customer must regulate time dependent loads’ operations in off-peak hours as per optimized schedule suggested by the software. Our system checks for the power consumption of a house including electric appliances like iron, fans, lights, computer, refrigerator and an air conditioner etc. The software is developed in C#. Oracle database is used to store the real time data. The power consumption during different months is compared using pie charts. Our system can also calculate the estimated bill by analyzing the power consumption of the last fifteen days.