Forecasting of Power System Electric Load for Next 24 Hours while Using Method of Artificial Neuron Networks

The paper considers a methodology for forecasting electric load of power system in theRepublicofBelaruson the basis of an artificial neuron network method. A configuration of the neuron network has been developed and the process of its training has been considered in the paper. Forecasting of power...

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Bibliographic Details
Main Authors: M. A. Korotkevich, V. V. Kurachinsky
Format: Article
Language:Russian
Published: Belarusian National Technical University 2010-04-01
Series:Izvestiâ Vysših Učebnyh Zavedenij i Ènergetičeskih ob Edinennij SNG. Ènergetika
Online Access:https://energy.bntu.by/jour/article/view/430
Description
Summary:The paper considers a methodology for forecasting electric load of power system in theRepublicofBelaruson the basis of an artificial neuron network method. A configuration of the neuron network has been developed and the process of its training has been considered in the paper. Forecasting of power system electric load has been prepared while using artificial neuron networks.
ISSN:1029-7448
2414-0341