The QUASAR optimization software finally makes stochastic programming available for a wider audience. Check out the example in this post to see for yourself, just how easy it is. In a previous post, we have used our Python interface. In this example, we call our Java API from Scala.
Check out our interactive example notebooks in Google Colab to find out just how simple it is to solve multistage stochastic programming problems with QUASAR®!
Simple arbitrage model for battery storage optimization under price uncertainty. Demonstrates how to turn policy simulation output into a simple decision rule of when to buy and when to sell.
An example from operations management – invest into production capacity under uncertain demand and then control production and inventories over subsequent periods.
The QUASAR optimization software finally makes stochastic programming available for a wider audience. Check out the example in this post to see for yourself, just how easy it is with our Python interface.
Spot-based valuation of a storage for natural gas over the course of one year. Model prices as one-factor model. Learn how to approximate storage value and delta positions.