Article Title

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

Journal: Journal of Transsib Railway Studies V.3(15), 2013
Journal thematic sections: Transport power engineering
Pages: 96-103
Authors: O. A. Kolomoets
udk: 621.311.001.57
Article reference
Kolomoets O. A. , Komiakov A. A. , Ponomaryov A. V. The development of electric load forecasting algorithms based on artificial neural networks for railway enterprises Izvestiia Transsiba – The Trans-Siberian Bulletin, 2013, no. 3(15), pp. 96 – 103.

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.