The Unit Commitment (UC) arguably deals with the most relevant short-term decisions in energy markets: which power plants should be producing and how much. Solving it with classical programming is time-consuming and using heuristics instead could be advantageous. However, heuristics have some disadvantages that need to be considered. These disadvantages depend heavily on the codification used. We have developed a new codification scheme for UC solutions that could drastically improve performance. We need a student to implement this codification into a Genetic Algorithm and run several case studies to assess the potential of the new codification.