Stochastic optimization with urbs for Germany and Bavaria
| Main Author: | Stüber, Magdalena |
|---|---|
| Other Authors: | Stursberg, Paul, Odersky, Leonhard, Akca, Okan, Hahn, Christoph, urbs Contributers |
| Format: | info software |
| Terbitan: |
, 2019
|
| Online Access: |
https://zenodo.org/record/3522730 |
Daftar Isi:
- This upload includes two settings of the stochastic optimization implementation of urbs for a short-term and long-term study of Germany and Bavaria. Datasets for both regions are included. Unfortunately, the demand data cannot be published openly, but can be created with help of scripts. The case studies are part of the author's phd thesis. The documentation of the stochastic algorithm SDDP (stochastic dual dynamic programming) is available at readthedocs. Data licenses can be found in the respective files. The code is licensed under GNU v3.0.