As the domestic load is increasing day by day, it is necessary to have a better energy management system for home appliances. This paper presents a solution for the above problem as a fuzzy-based home energy management system that can counter time-varying electricity costs, i.e., the nominal tariff (NT). As many houses use energy storage systems (ESSs) for their solar power generation, the proposed approach schedules ESSs to reduce electricity costs by changing the operations in ESSs. The charging of an ESS must be appropriately scheduled to lower the electricity bill. Therefore, we suggest the Mamdani-based fuzzy logic control approach, which decides the charging, discharging, and idle conditions for ESSs as per the NT and available renewable energy resources. The proposed system does not use power from the grid during peak hours to maintain the peak-to-average ratio by considering user's comfort and waiting time for appliances.