In the dynamic realm of smart buildings, integrating intelligent technologies and energy-efficient systems is pivotal for reducing energy consumption and enhancing building management efficiency. This paper introduces a novel demand response algorithm aimed at synchronizing energy consumption with production by dynamically adjusting load patterns based on the state of charge of the storage system. Rigorous testing within a micro-grid environment, encompassing various loads such as photovoltaic solar panels, small wind turbine systems, and lead-acid battery banks, demonstrates its effectiveness in optimizing renewable energy utilization and mitigating peak demand. The algorithm not only yields significant cost savings for end-users but also plays a crucial role in reducing carbon emissions. As the demand for efficient utilization of intermittent renewable energy rises, the implementation of this algorithm emerges as a promising strategy for achieving substantial reductions in energy consumption while maintaining a critical balance between production and demand. This research sets a precedent for innovative energy management approaches, paving the way for sustainable practices in building operations.