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Scientific and technical journal established by OSTU. Media registration number: ПИ № ФС77-75780 dated May 23, 2019. ISSN: 2220-4245. Subscription index in the online catalog «Subscription Press» (www.akc.ru): E28002. Subscription to the electronic version is available on the «Rucont» platform.
The journal is included in the Russian Science Citation Index and in the List of Russian Scientific Journals .

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V.3(15), 2013
96-103

The development of electric load forecasting algorithms based on artificial neural networks for railway enterprises

Authors: O. A. Kolomoets, A. A. Komiakov, A. V. Ponomaryov / Abstract

In this paper we propose an electric load forecasting algorithms based on artificial neural networks. An improved method for selecting the most appropriate structure of the neural network based on the coefficient characterizing the homogeneity of the samples is proposed.

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The development of electric load forecasting algorithms based on artificial neural networks for railway enterprises

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