The seasonal stability of supply energy has been a challenge for operation planning for the electric sector. Since the existence of the complementarity between wind and hydro sources, an integrated action plan could mitigate the natural risk involved in the electricity generation process. The integrated wind and streamflow scenarios would constitute an important tool for operation planning and also would provide means to calculate the optimal dispatch. Due wind power has assume increasing importance and it has been inserted in the energy trading environment more and more. In Brazil, the installed wind power capacity has reached significant levels, predominantly in the Northeast region, the integrated scenarios would be incorporated into the Newave model, which is used by the ONS. This work aims to develop models for joint estimation of wind and streamflow through the recursive algorithm of weighted least squares, fed by the series of wind capacity factor, streamflow and natural hydro power, the latest comes from Newave model. Next, the integrated scenarios generation uses Monte Carlo simulation method. The final results in the modeling process showed good performance, and simulated synthetic series preserved the characteristics of the original series.