  Optimization models have been broadly used within side the energy industry as
useful decision-making systems for scheduling and dispatching electric powered
energy resources; this is applied in a system called unit commitment (UC).
  Unit Commitment seeks the maximum price adequate generator commitment scheme
for an electric powered energy device to satisfy a certain demand, at the same
time as fulfilling the operational constraints on transmission models and
computational resources. Taking into account risk variability in those
processes and checking out their comparative overall performance for a single
or multi-stage energy model as a function of monetary performance in addition
to the risk related to the commitment decisions.
  Stochastic programming and Robust optimization are by a vast majority the
most widely studied methodologies for UC under net load uncertainty. These
techniques will be discussed in this paper.
