This paper delves into an intelligent demand response algorithm designed to overcome intermittent challenges and ensure a continuous power supply to users. The algorithm adeptly manages both production and consumption by regulating user-defined load patterns based on the state of charge (SOC) of the storage system. To validate its effectiveness, the algorithm is implemented and tested on a micro-grid system that includes various loads, six photovoltaic (PV) solar panels, lead-acid battery banks, and an electric vehicle (EV) utilizing vehicle-to-home (V2H) connections. The experimental results highlight the algorithm's success in maximizing the utilization of renewable energy, decreasing peak demand, and showcasing the efficiency of smart charging and EV connections in optimizing load scheduling. Notably, the algorithm demonstrates cost benefits, particularly for high-consumption users, and contributes to the reduction of carbon emissions, promoting sustainability. This algorithm presents a promising solution for substantial energy consumption reduction and the efficient utilization of intermittent renewable energy sources while maintaining a balance between production and demand.