Page 152 - IJOCTA-15-1
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N. Tekbıyık-Ersoy / IJOCTA, Vol.15, No.1, pp.137-154 (2025)

                                MLR (N: 2) / C: 18 of 45 / C : [3  4] / Min: 807.3196 / Mean: 1901.0838
                                                       B
                             MAEOPT (N: 2) / C: 18 of 45 / C : [3  4] / Min: 771.4631 / Mean: 1806.9513
                                                         B
                             4000
                                                                         MLR:MAE
                                                                         MLR: MeanMAE
                             3500
                                                                         MAEOPT:MAE
                                                                         MAEOPT: MeanMAE
                             3000


                             2500
                            MW
                             2000


                             1500


                             1000


                              500
                                 0     5     10    15     20    25    30    35     40    45
                                                        Combinations

                                             Figure 2. MAE Results for Case 1

                                   Table 3. b 1 , b 2 and b 0 for MLR and MAEOPT in Case 1


                               Method      b 1          b 2              b 0
                               MLR         0.00799082 -10006.74459441 142610.15814996
                               MAEOPT 0.00810932 -10219.38669067 149159.82875932

                        Table 4. MAE, MAPE and RMSE Comparison of MLR and MAEOPT for Case 1


                                    Criteria      MLR        MAEOPT % Reduction
                                    MAE of C B    807.3196 771.4631     4.44
                                    MAPE of C B   3.8463     3.6677     4.64
                                    RMSE of C B   983.5515 1001.6491    -1.84

                                  Table 5. b 1 , b 2 , b 3 and b 0 for MLR and MAEOPT in Case 2

                         Method      b 1         b 2               b 3         b 0
                         MLR         0.00775423 -10376.06500433 5.05857714 176337.82370295
                         MAEOPT 0.00764803 -10382.03680718 5.83413543 183271.81682372

                        Table 6. MAE, MAPE and RMSE Comparison of MLR and MAEOPT for Case 2


                                    Criteria      MLR        MAEOPT % Reduction
                                    MAE of C B    645.0701 597.9554     7.30
                                    MAPE of C B   3.4125     3.0964     9.26
                                    RMSE of C B   802.4943 839.0062     -4.54

            MAEOPT, from 1491.96 to 1369.15 respectively.     values for the best combination for the modeling
            This indicates a reduction of 8.23% in mean MAE   period, are also provided in Table 6 for MLR and
            of 120 combinations. MAE, MAPE and RMSE           MAEOPT. As seen from the table, MAEOPT’s

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