Team Members
Summary
The ever-increasing load demand in the electrical grid system and energy crisis issues have made the use of smart Home Energy Management System (HEMS) more attractive to both the power utilities companies and to their customers. IoT-centric technologies provides a bidirectional communication facility between homes utility systems and the end-users to monitor control and analyze the data that involves the consumption of electricity/water/gas in a smart home setting. These utility systems include lighting, plumbing, heating-cooling, and all smart home appliances. The main goal of this project is to develop an optimized energy consumption framework that aims to minimize electricity payment (i.e. monthly utility bills) by scheduling smart home appliances/utility systems to cheaper time slot to achieve maximum cost savings while taking users’ preferences and convenience into consideration. The model will be based on Machine Learning (ML) techniques that can be later transformed into a tool. This tool can be integrated into the HEMS of any household or small business. Some of the benefits provided by our proposed smart energy management framework include savings in electricity bills, users’ convenience, and reduction in peak load congestion.