This paper proposes an optimization framework for regenerative braking energy savings in train schedules. The framework uses multi-precision level parameters to adaptively optimize existing train schedules, outputting a highly credible implementation plan for the schedules. Key technologies include: using ATO curves to establish a regenerative energy calculation model, developing a model for calculating regenerative braking energy across stations, conducting a detailed analysis of the proportion of energy loss during remote transmission, and improving the efficiency of regenerative energy utilization.