A System for Monitoring the Electric Usage of Home Appliances using Machine Learning Algorithms

In recent years, one of the most major issues in the world is energy preservation, while electric energy accounts for a huge amount of total energy consumption over a year. Many solutions have implemented to reduce energy consumption, including encouraging to exploit renewable energy or utilizing energy more efficiently. Besides, many research has conducted to improve the life quality of people, many of those are related to smart home applications. In this paper, we introduce two devices called Load Monitoring Device (LMD) and Activity Monitoring Device (AMD). The purpose of LMD is to provide feedback about operating states and energy consumption of electrical appliances in a house. This device will help people to consume electrical energy more efficiently. AMD with an acoustic sensor can detect a range of activities in a room. It also provides more appliances' data for LMD. Both LMD and AMD use machine learning algorithms. Activity information is very helpful for smart home applications and efficient energy usage in the future.