System for forecasting energy consumption using the artificial neural network

System for forecasting energy consumption using the artificial neural network

The article considers the possibility of increasing the efficiency of the mining enterprise at the expense of correct choice of price categories and tariff for electricity. The efficiency of forecasting model of energy consumption by the rational choice of price categories is shown, a system for pre...

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Bibliographic Details
Main Authors:	B. N. Abramovich, I. S. Babanova
Format:	Article
Language:	English
Published:	National University of Science and Technology MISiS 2016-06-01
Series:	Горные науки и технологии
Subjects:	energy management artificial neural network electricity tariff price category intelligent metering system error prediction architecture network multilayer perceptron
Online Access:	https://mst.misis.ru/jour/article/view/28

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