This research explores a spectrum of correction methods to predict free wind speed conditions from offshore wind measurements influenced by nearby wind farm clusters. Three of these methods (reference data, wake model and mesoscale model correction) were evaluated at two measurement sites in the German Bight, and a matrix of wake correction factors was obtained for each method. Comparison among methods reveals that all can identify sectors affected by upstream clusters. However, using reference data for correction overestimates impacts at sector limits. Wake and mesoscale model corrections are similar in their proposed correction factors, but the wake method yields lower values due to underestimation of wind farm wake deficits over long distances. When applying the correction factors to the waked measurements, the resulting series did not show significant statistical differences. The choice of correction method is contingent upon factors such as time constraints, availability of information on surrounding wind farms, and desired level of accuracy. The reference method is suggested in the absence of relevant information, while the wake method is recommended when there are time constraints. The mesoscale method can be considered when more time is available.