Decision Trees is a young, professional consultancy and software house that focuses on the introduction of next generation Stochastic Optimization models into the energy industry.
Based on the scientific research on Stochastic Optimization at top tier universities, amongst of which is the Institute for Operations Research and Computational Finance (ior/cf) of the University of St. Gallen, Switzerland, the company productizes Stochastic Optimization in its DT@Energy Optimization Suite.
- Consulting
Decision trees is committed to transfer scientific know how on Stochastic Optimization to practitioners. Transparency and understandability of mathematical modelling, continuous on-site consulting and in-depth training of customers' staff are key elements of Decision Trees' philosophy.
- Software
Decision Trees delivers DT@Energy, a revolutionary decision support system for energy producers and traders in volatile gas and power markets. DT@Energy is based on advanced Stochastic>Optimization methodology. Most recent cutting edge decision tree based optimization models are implemented and tailored to customers’ needs. They are most applicable to highly volatile price and demand evolutions and increase operational profits significantly.
The DT@Energy suite includes Stochastic Optimization models for
- Virtual and real power plants:
Valuation and optimal operation in volatile electricity markets - Gas storage facilities:
Valuation and optimal operation in volatile gas markets - Stochastic portfolio optimization:
Integrated optimization of spot- and forward trades together with physical assets - Hydro-thermal generation systems:
Optimal operation under consideration of various price and resource uncertainties
DT@Energy's models are in production at various power companies providing valuable decision support under uncertainty. Most recently, one of the most successful trading associations of municipal utilities in Europe, Trianel European Energy Trading GmbH, decided to innovate the valuation and optimization of their physical assets based on Decision Trees' Stochastic Optimization models.
© 2007 Decision Trees GmbH
