Gaussian Process Learning-based Probabilistic Optimal Power Flow

The proposed GP-POPF method does not rely on uncertainty information and linearization assumptions on the power flow. Compared to data-based methods, the proposed method does not require extensive training samples of POPF solutions, thus reducing computation time.