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Öğe Electric distribution network management with neural network methods(İstanbul Gedik Üniversitesi, 2022) Hameed, Asaad Abdalkareem; Ulutagay, GözdeIn the electric power distribution networks, the effective grid management represents the alternative solution to the traditional electric power management, as it provides the possibility of estimating and thus eliminating the stresses of irregular loading in the electric network as well as the ability of time and cost management process. However, there are many limitations in this administration system. As the previous strategies focus on the generation aspect only. This work is a system based on neural networks used to estimate system variables very accurately, which in turn facilitates the process of managing the electrical network. The results of the proposed algorithm representation on several types of power systems showed good performance, and this is one of the features of neural networks, as it can be trained on huge numbers of information. The percentage of error in both methods shows how accurate the algorithm is in estimation of system variables.