This work introduces an innovative methodology for optimizing battery operation aimed at reducing energy losses over a 24-hour period. By employing the GreyWolf optimization technique, a model has been developed to achieve optimal battery operation under varying conditions of load and energy generation. Additionally, load and generation uncertainty have been incorporated using the Two Point Estimate Method, aimed at reducing computational time and making the analysis feasible. The results demonstrate that this approach enhances battery operation efficiency, even in uncertain scenarios.