Grey Wolf Optimizer for Optimizing Renewable Energy Scheduling Problem

The Energy Scheduling Problem (ESP) seeks to optimize the scheduling of smart home appliances based on electricity pricing models. This involves rescheduling appliance operations across different time intervals to minimize costs, reduce the Peak-to-Average Ratio (PAR), and enhance user satisfaction. In this study, the Grey Wolf Optimizer (GWO) is utilized to address the ESP and develop an efficient scheduling approach for smart home appliances. Additionally, a renewable energy source (RES) based on a PV system is integrated to enhance the scheduling process by supplying energy to the smart home, particularly during periods of high demand. The results highlight the effectiveness of the RES in lowering electricity costs and improving user comfort. Furthermore, the performance of GWO is compared with the wind-driven optimization algorithm, with GWO demonstrating superior results in achieving ESP objectives.