Data-driven system identification and control of home facilities for comfortable, energy cost effective and safe home

Modern homes use a large number of apparatus and they are not coordinately controlled in their maximal performance. Therefore, the room temperature may not be steady enough. Additionally, energy costs may be high due to increased electricity prices during peak demand periods. In addition, the use of the facility may have fire risk, the alarm only has the function of issuing an alarm, and the processing of the alarm source is still dependent on human operation, such as turning off the power or gas. In this paper, we proposed a control system based on data-driven system identification for multiple home apparatus to control the room temperature more stable, shift the load of the refrigerator while maintaining the refrigerator function, and connect the alarm to the control system, so that it can automatically cut off the alarm source. Extensive results show that the system can effectively stabilize room temperature, reduce electricity costs, and automatically cut off the alarm source.