Stochastic optimization with urbs for EMP-E 2019

This code+data package includes the rewritten optimization framework urbs further extended by a stochastic dual dynamic programming approach during the BMWi funded DecEnSys project. The included datafile for Germany is complete except for the demand time series which cannot be openly provided. It can easily be reconstructed by following the steps in the published Jupyter Notebook. With the input file and the settings in the modified urbs, the presented case study at EMP-E can be reproduced.