Each one of these five scenarios branches in the third stage into two further scenarios. Hence, ten discrete scenarios describe the error distribution of short-term forecasts. Each forecast scenario is described by a probability of occurrence. The applied structure of the scenario tree and the number of discrete scenarios are subject to a compromise between a fair approximation of the distribution density function of stochastic variables and the computational effort of the resulting optimisation problems.