@phdthesis{Wandpflug2016,
  type      = {Master Thesis},
  author    = {Mario Wandpflug},
  title     = {A Cost-optimal Natural Gas Contract Selection for the Day-Ahead Planning},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:900-opus4-59874},
  pages     = {89},
  year      = {2016},
  abstract  = {Before gas is transported, natural gas traders have to plan with many contracts every day. If a cost-optimized solution is sought the most attractive contracts of a large contract set have to be selected. This kind of cost-optimization is also known as day-ahead balancing problem. In this work it is shown that it is possible to express this problem as a linear program that considers important influences and restrictions in the daily trading. The aspects of the day-ahead balancing problem are examined and modelled individually. This way a basic linear program is gradually adapted towards a realistic mathematical formulation. The resulting linear optimization problem is implemented as a prototype that considers the discussed aspects of a cost-optimized contract selection.},
  language  = {en}
}