The aim of this project is to make the currently running forecasting system capable of parallelization. This is needed because the forecasting system currently follows a sequential method to forecast, which could be further optimized in the terms of time it takes by using multiple cores both on individual machines and High Performance Computers (HPC). This would be achieved by applying a forked parallelization method on the embarrassingly parallel problem available within the project currently.