Effective and Comfortable Power Control Model Using Kalman Filter for Building Energy Management

In building environment energy management is a big problem in recent years. Several methods and proposals exist in the literature for energy management, but the trade-off between occupants comfort level and energy usage is still a major challenge and remained unresolved. In this paper, we propose power control model for comfortable and energy saving using fuzzy controller and Kalman filter. We have given focus in two directions simultaneously: first is to maximize the occupants comfort level and second is to control the usage of the power. To achieve these tasks, first we implement fuzzy logic to control the environment and second, we predict the consume power using Kalman filter. The parameters we consider are temperature, illumination and air quality. At the end of the paper we compare the power consumption results in case of prediction and with no prediction. The results proved the effectiveness of the proposed technique in obtaining the solution for the aforementioned problems.