Intelligent Electrical Device Load Scheduling for Building Energy Management

Abstract

Currently, electrical energy is one of the primary needs in everyday life. Almost every device used for daily life uses electric power. However, the lack of user awareness in electronic devices can cause monthly electricity bills to be out of control, both in-office and residential areas. To improve the efficiency of electrical energy use in offices and housing, we designed a management system and control of daily electricity consumption so that it does not exceed the target of the monthly electricity bill. In this system, we integrate the priority of electronic devices into the optimization algorithm. This system uses a priority queue algorithm and genetic algorithm in scheduling electronic devices optimally. The system was created in the form of a website to limit the use of electrical energy by optimizing device scheduling. The method used is the Genetic Algorithm to calculate the duration of use of each electrical device so as not to exceed the predetermined monthly budget limit. This method will provide a recommended number of operating hours per day for 30 days for each electrical device that has been registered in the system. At the same time, the priority queue algorithm will adjust the duration of operation of each device based on the priority order of the device. Based on the test, the optimal fitness value is in the 60th generation, with an average execution time of 0.18 seconds. In testing the rules for both methods, this system has an accuracy rate of 100%. The system has been running according to the designed regulations.