The results presented here evaluate the wind speed forecasts at four wind farms in complex terrain and quantify the relative importance of selecting the correct PBL scheme versus initial condition. It was found that the model grid spacing and PBL scheme selection are the most important factors to consider when forecasting the hub-height wind in complex terrain, while the initial condition source contributed only a small amount to differences in forecast verification statistics. The dominant factor was also location dependent. At some stations, the PBL scheme choice was found to contribute up to 90% of the variance in forecast verification statistics. The contribution to that variance was also found to vary by time of day and season, with the PBL scheme choice having the largest influence in the summer during the daytime hours. Forecast mean absolute error (MAE) can be reduced by 9-15% be choosing a well performing scheme over a poor performing scheme, an important cost saving for power planners. Changing the initial condition resulted in only a 2% improvement in MAE.