CONTROL OF A WIND-TURBINE VIA MACHINE LEARNING TECHNIQUES

The paper reports empirical improvements on a fixed synthetic wind episode (higher average power and rotational speed closer to rated for Test A; lower loads at the cost of power for Test B) but makes no universal existence claim or proof. The model’s analysis correctly notes a counterexample showing that any unconditional, for-all-wind-series existence claim would be false, and it sketches sufficient conditions and a constructive policy; however, its arguments remain informal and rely on continuity and local-optimality heuristics rather than a complete proof. Thus, the paper is empirically correct for its setup but theoretically incomplete, and the model’s solution is directionally sound yet not fully rigorous.