In this study, we use advanced weather simulations, real-world measurements, and satellite images, showing that modeling wind farm effects improves accuracy, especially in areas influenced by turbines. Focusing on one of the largest wind farm clusters in the North Sea, we investigate wind speed deficits based on different atmospheric conditions. These findings help quantify the influence of large wind farm clusters, improve predictions, and support planning for future wind energy development.