Machine Learning based Home Energy Management System

Abstract

In this paper, we describe the machine learning and cooling system used in the smart home. In particular, we proposed a temperature controller based on machine learning and verified performance using real-time location data. With the experimental results, it is possible that the efficiency of the temperature control using the machine learning was verified. As a result of performance testing, the proposed system shows that there are variations in performance depending on the user's health pattern, and that the system works best if you have a particular lifestyle.