Due to the increase in energy costs and climatic changes, today's manufacturing companies are forced to switch to sustainable production processes instead of traditional production processes. The traditional scheduling problem only takes into account processing times and does not take into account energy saving or environmental impacts. In this study during the scheduling of job shop production, the maximum amount of electricity consumed was also calculated and not only the completion time of the total jobs (makespan) minimized but also an energy saving schedule. The electricity consumed for each time period was found and the maximum electricity consumption was calculated for all times up to the end time of all jobs. By trying to reduce this value, savings for electricity was tried to be made. Integer mathematical model has been created and solutions have been obtained with neural networks. In the application, it is seen that all processes have been sacrificed a little bit from the makespan and thus significant energy savings have been achieved.