This notebook is an example of how Decision Optimization can help to prescribe decisions for a complex constrained problem using the Commercial Edition of CPLEX engines included in the Default Python 3.7 XS + DO in Watson Studio. Electricity providers are facing the problem of deciding which power units to run, in which periods and at what level in order to satisfy the demand for electricity. This problem is known as the Unit Commitment Problem. This tutorial includes everything you need to do to solve this problem from data preparation to what-if analysis.