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This research is crucial for energy field researchers who are interested in optimizing energy consumption. The primary objective is to optimally manage load demand, reduce the average peak ratio, lower electricity bills, and enhance user comfort. To accomplish this goal, the load conversion strategy is used to coordinate household appliances and manage the home power system effectively. This approach aims to minimize peak\u2013average ratios and electricity costs while ensuring consumer convenience. To minimize electricity bills, the study schedules the consumer\u2019s daily activities based on actual time and next day\u2019s energy demand. Furthermore, a fitness criterion is used to balance the load between off-peak and on-peak hours. The scheduler is designed to achieve an optimal device on\/off state that minimizes device waiting time by coordinating household appliances in real time. To address the background problem of real-time rescheduling, dynamic programming is employed. The study evaluates the modified algorithm\u2019s performance using three pricing strategies: critical peak pricing, real-time pricing, and time of use. 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