Using MathWorks tools, you respond to changing demands and operational constraints by developing and adapting models that manage energy assets and build commodity trading strategies. Without leaving MATLAB, you can:
You can model, price, and optimize portfolios of storage contracts and physical assets using prebuilt optimization algorithms in MATLAB that include a variety of solvers—constrained or unconstrained linear, nonlinear, and binary integer—and global methods, such as genetic algorithms and simulated annealing. You can connect to proprietary or third-party commercial optimization routines through the MATLAB application programming interface.
Gas Natural Fenosa Predicts Energy Supply and Demand (User Story)
Energy contracts involve managing variable amounts of gas or electricity. Constraints on how much of a commodity can be traded make customized contracts such as swing options difficult to value, risk manage, and hedge. You can use the Monte Carlo capabilities and binomial and trinomial tree methods in MATLAB to price contracts, incorporate constraints into risk calculations, and calculate metrics, such as earnings at risk.
"The European Commission recently reset carbon dioxide emission limits. Because our MATLAB model was designed to be flexible and scalable, it was very easy for us to incorporate the new constraints in a week or two, we would have had to wait months for a vendor to build those constraints into a commercial product."Read the story