AI System for Monitoring States and Power Consumption of Household Appliances

摘要

Global warming is a major problem in the 21st century. One of the most effective ways to reduce greenhouse gas emissions is to save energy, in which electricity is the energy source with high demand and daily increasing. Residential electricity accounts for a large proportion of the total amount of electricity produced, thus if each individual can use electricity at home more effectively, it also means that we are slowing down the process of climate change. The feedback on the energy consumption of household appliances gives users a clearer view of daily electricity consumption, and this will help them to have more efficient ways to consume electricity. In this paper, the authors have built a system to monitor the on/off status and energy consumption of each electrical appliances in the house. The system only uses an electronic meter and software run machine learning algorithms on computers. The test result of the on/off state prediction feature has an accuracy of 93.60%.