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基于深度神经网络进行实时电力系统状态估计和预测

...aining 80%, test 20% split_train = int(0.8*psse_data['inputs'].shape[1]) split_val = psse_data['inputs'].shape[1] - split_train #int(0.25*psse_data['inputs'].shape[1]) train_x = np.transpose(data_x[:, :split_train]) train_y = np.transpose(data_y[:, :split_train]) val_x   = np.transpos...