This article aims to present the use of the Arithmetic Optimization Algorithm meta-heuristic to ensure the generation of natural inflow energy scenarios. In this context, the proposed optimization problem, whose objective function is to minimize the standard deviation of the prediction errors, will be solved by the intelligent search space of arithmetic optimization wich will select the best coefficients as well as the optimal order of each month in order to correlate historical data observed with the estimated values of natural inflow energy. After defining the optimal coefficients and order, we move on to generating inflow energy scenarios considering a horizon of sixty months ahead. Finally, simulations were carried out for the hydroelectric plants of Santo Antônio, Itumbiara and Teles Pires whose results show the applicability of the methodology for generating inflow energy scenarios which are feasible for medium-term energy planning.
