The Discount Scheduling Problem (DSP) reduces carbon emissions in energy grids by personalizing energy price discounts for individual consumers based on their consumption patterns and grid conditions. DSP seeks to shift energy usage to times of lower carbon intensity, minimizing environmental impact while maintaining stable grid operations. The computationally intensive problem of balancing individual and global consumption constraints makes it a prime candidate for advanced optimization techniques.