Algorithms for mean-risk stochastic integer programs in energy

We introduce models and algorithms suitable for including risk aversion into stochastic programming problems in energy. For a system with dispersed generation of power and heat we present computational results showing the superiority of our decomposition algorithm over a standard mixed-integer linear programming solver.