  We present a method to formulate the unit commitment problem in energy
production as quadratic unconstrained binary optimization (QUBO) problem, which
can be solved by classical algorithms and quantum computers. We suggest a first
approach to consider uncertainties in the renewable energy supply, power demand
and machine failures. We show how to find cost-saving solutions of the UCP
under these uncertainties on quantum computers. We also conduct a study with
different problem sizes and we compare results of simulated annealing with
results from quantum annealing machines.
