This book set out to provide a comprehensive introduction to various topics that are deeply intertwined and together give rise to the core topic of this book: data-driven modelling of wind farm flow control strategies. On the one hand, it focused on the existent technologies that aim at manipulating the wake interaction between turbines to improve the performance of wind farms. For that purpose, the key principles related to wind turbine control were introduced prior to moving to the overarching goal of controlling the farm. Typical modelling approaches based on physical principles were discussed. On the other hand, it also focused on data-driven modelling algorithms that aim at building simplified models from data only, circumventing the necessity of including knowledge of the underlying physics of the system. The technique that was explored in great depth was the Input Output Dynamic Mode Decomposition (IODMD), along with the variants motivated by the Koopman operator. Furthermore, the initial original algorithm from which IODMD departs—Dynamic Mode Decomposition (DMD)—was also explored.