Authors: Veličkovska, Ivana 
Mihajlović, Ivan
Njagulović, Boban
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Prediction of the copper production in the framework of electrical energy consumption using artificial neural network
First page: 411
Last page: 423
Conference: International May Conference on Strategic Management – IMCSM20 September 25-27, 2020, Bor, Serbia
Issue Date: 2020
Rank: M33
URL: https://drive.google.com/file/d/1xn1m0GaZ8bFU-es0sii7iRnYwE0uMYFr/view
Abstract: 
The metallurgical process of the copper production is a very complex process and requires the consumption of electrical energy in large quantities. One of the challenges of today is to reduce the use of electrical energy by increasing the energy efficiency of the system. This challenge can be solved by developing energy management in mining companies. In order to approach...
Keywords: Electricity consumption | copper production | prediction model | artificial neural network
Publisher: University of Belgrade, Technical Faculty in Bor, Management Department

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