Analyze, Model and Simulate Energy Risk with MATLAB - a SAP Integration at RWE


Francesca Perino, MathWorks
Titus Edelhofer, MathWorks

In liberalized power markets the general shift in financial risk exposure creates a need for the development of new modeling tools explicitly fitted to the specific characteristics of decision problems in electricity markets. Everyday MATLAB products help energy market participants embed risk management into their processes for improved insights into marketplace volatility.

In this webinar, you will learn how MATLAB can help to capture, analyze and simulate energy risk exposures. Through product demonstrations, attendees will see how MATLAB can be used to streamline the development of energy risk management applications from concept inception through to data integration, analysis, modeling, and finally deployment.

In particular this webinar features a MATLAB based risk management system for natural gas trading called EwITA (Entwicklung IT-Zielarchitektur Gas ). The system was developed by RWE, the second largest energy supplier in Germany, and integrates a MATLAB energy pricing engine with SAP, an acclaimed enterprise solution.

This webinar is for practitioners or academics in energy trading whose focus is quantitative analysis, modeling, risk management, or deal valuation. Familiarity with MATLAB is not required.

Integrating data sources and time series management

  • Modeling and simulating natural gas prices, temperature and electricity prices
  • Integrating a MATLAB energy pricing engine into a Java framework


  • Econometrics Toolbox

録画: 2010年9月14日