Optimal Scheduling in Smart Homes with Energy Storage Using Appliances' Super-Clustering

Home Energy Management System (HEMS) enhances the load scheduling in the next-generation electric grid. Residential users send responses to utilities for scheduling their appliances to the off peak hours when prices are low. The scheduling of the household appliances still not succeeded too much by having some drawbacks. In this research, we have proposed a new algorithm namely GASC for scheduling by using superclustering of appliances and their working timing hours. This algorithm is developed by using the GA for appliance clustering and scheduling. It is validated by the simulations which were conducted for this procedure.