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The thesis deals with how to price swing options in the electricity market by using a least squares Monte Carlo method. This is a simulation method which uses a backwards moving algorithm where the optimal decision is calculated at every time step. Regression is used for the optimal decision and in this thesis both a polynomial regression and a cubic smoothing spline are used. They are both shown
