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The aim of this study is to develop and test a predictor capable of projecting whether each phase of a power distribution line will be overloaded or not. Prediction is implemented using an artificial neural network, which has been shown to be of high accuracy and efficiency in non-linear problems. In our work, the neural network has been trained using the Levenberg-Marquardt algorithm, while Bayesian...
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