An intelligent Home Energy Management System with classifier system

Abstract

A Home Energy Management System (HEMS), which enables residential users to effectively manage the energy consumption in their home, can optimize the operation schedule of household appliances according to environments, e.g. indoor temperature and electricity prices. HEMS monitors the environment and the energy usage, visually represents the energy consumption, and effectively controls the appliances, thus HEMS helps to reduce the energy cost as well as to maintain users' comfort. The optimal operation schedule of the appliances for the cost saving, however, does not always coincident with the user's desired operation schedule of the appliances because the optimal operation schedule is fixed by HEMS and hence the users could not change the operation schedule even when they need. From this point of view, we address the energy management system which enables the users to use the appliances at their disposal, not only for saving the cost. Because the operation schedule of the household appliances which does not disturb the user's behavior should be calculated, we develop the intelligent HEMS based on eXtended Classifier System (XCS) in this paper. The effectiveness of the proposed HEMS is confirmed by the computational experiments.