├── A0_Create_Test_Cases.m ├── A1_Create_Data_Sets.m ├── Data_File ├── 39 │ ├── Bus_39.csv │ ├── Gen_39.csv │ └── branches_39.csv ├── 118 │ ├── Bus_118.csv │ ├── Gen_118.csv │ ├── PTDF.csv │ └── branches_118.csv └── 162 │ ├── Bus_162.csv │ ├── Gen_162.csv │ ├── PTDF.csv │ └── branches_162.csv ├── MILP_For_Worst_Case_Guarantees ├── Compute_Worst_Case_Constraint_Violations.m ├── Compute_Worst_Case_Distance_Sub_Optimality.m ├── E1_Evaluate_Average_And_Worst_Performance_Data.m ├── E2_Neural_Network_Scalability_MILP.m ├── E3_Worst_Case_Constraint_Violations_MILP.m ├── E4_Worst_Case_Distance_Optimality_MILP.m ├── Predict_NN_Output.m ├── Predict_NN_Output_with_ReLU_Stability.m └── Trained_Neural_Networks │ ├── case118_DCOPF │ └── 1 │ │ ├── ReLU_stability_active.mat │ │ ├── ReLU_stability_inactive.mat │ │ ├── W_0.csv │ │ ├── W_1.csv │ │ ├── W_2.csv │ │ ├── W_3.csv │ │ ├── b_0.csv │ │ ├── b_1.csv │ │ ├── b_2.csv │ │ ├── b_3.csv │ │ ├── zk_hat_max.mat │ │ └── zk_hat_min.mat │ ├── case162_DCOPF │ └── 1 │ │ ├── ReLU_stability_active.mat │ │ ├── ReLU_stability_inactive.mat │ │ ├── W_0.csv │ │ ├── W_1.csv │ │ ├── W_2.csv │ │ ├── W_3.csv │ │ ├── b_0.csv │ │ ├── b_1.csv │ │ ├── b_2.csv │ │ ├── b_3.csv │ │ ├── zk_hat_max.mat │ │ └── zk_hat_min.mat │ └── case39_DCOPF │ └── 1 │ ├── ReLU_stability_active.mat │ ├── ReLU_stability_inactive.mat │ ├── W_0.csv │ ├── W_1.csv │ ├── W_2.csv │ ├── W_3.csv │ ├── b_0.csv │ ├── b_1.csv │ ├── b_2.csv │ ├── b_3.csv │ ├── zk_hat_max.mat │ └── zk_hat_min.mat ├── PINN_DC_OPF_Main.py ├── PINNs ├── Check_KKT.py ├── DenseCoreNetwork.py ├── KKT.py ├── PinnLayer.py ├── PinnModel.py ├── create_data.py ├── create_example_parameters.py └── create_test_data.py ├── README.md └── Test_Network(Copy to Matpower) ├── Modified Network ├── case118_DCOPF.m ├── case162_DCOPF.m └── case39_DCOPF.m └── Original Network ├── pglib_opf_case118_ieee.m ├── pglib_opf_case162_ieee_dtc.m └── pglib_opf_case39_epri.m /A0_Create_Test_Cases.m: 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