This work provides a simple and straightforward method based on Markov chains to generate a large number of probabilistic energy production and demand profiles when historical measurements are available. The method is intended for energy modelers seeking a simple generation approach to test different design and operation methods for microgrids without spending too much time in this generation phase. Results show that the proposed method can capture the main statistical features and the temporal variability of real data at both long and short time scales, despite the method's simplicity.