smart homes energy management system integrated with renewable energy sources and demand response programs

Home energy management systems (hems) play an important role in optimizing energy consumption. these systems manage the electricity consumption of household appliances using demand response programs based on real-time prices. the main goal of these systems is to reduce electricity costs and increase energy efficiency. in this paper, a price-base demand response approach is proposed for a smart home with different types of home appliances, including electric storage and thermal storage systems. in the proposed method, various appliances are considered in the smart home modeled by the energy hub system. an objective function is developed for daily management simultaneously addressing electricity costs to provide comprehensive management for smart homes. the proposed model examines how the smart home energy system responds under various conditions. additionally, stochastic optimization accounts for the probabilistic nature of demands, photovoltaic (pv), and wind energy. the simulation results indicate that the consumer's payment cost is 79 cents and the emissions cost is 7 cents. the numerical results demonstrate the effectiveness of this approach.