Extrinsic Valuation of Energy Storage
The model is available as ready-to-use yet highly customizable software solution deployed through QUASAR® Cloud.
Users can import and manage input data, execute optimization runs, calculate storage value, value-at-risk, delta positions, create interactive charts and reports, as well as export result data and easily share it across the organization. QUASAR® Cloud can be obtained as subscription service or set up on-premise via AWS VPC. 
The model is driven by the powerful QUASAR® stochastic programming solver that combines the latest advancements in machine learning and mathematical optimization. QUASAR®’s highly efficient algorithms can solve the most complex stochastic-dynamic programming problems with hundreds of time stages, thousands of variables and millions of possible outcomes at an unprecedented speed. 
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.
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.
In their article "Gas Storage Valuation in Incomplete Markets" Nils Löhndorf and David Wozabal propose a multistage stochastic programming model for extrinsic valuation and optimization of natural...
