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In this webinar, you will learn how MATLAB can be used to streamline the development of energy trading and risk management applications from inception to deployment. This webinar presents an example of computing cash-flow-at-risk and expected profit from operating a portfolio of gas-fired plants.
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.
About the Presenter:
Ameya Deoras is an application engineer at the MathWorks with a focus on the Finance industry. Prior to joining the MathWorks in 2008, Ameya undertook graduate research in computational gene prediction as well as robust speech recognition, both involving building statistical models for pattern recognition on large datasets using MATLAB. Ameya holds a B.S. in Electrical Engineering from the University of Illinois and an M.S. in Electrical Engineering from the Massachusetts Institute of Technology.