Energy consumption in electric melting furnaces plays a critical role in the efficiency and stability of production processes in the metallurgical and metalworking industries. The paper presents an analysis and review of modern scientific research in the field of operational forecasting of energy consumption in arc furnaces, using machine learning methods.
Translated title of the contributionCOMPARATIVE ANALYSIS FOR OPERATIONAL FORECASTING OF ENERGY CONSUMPTION OF ARC FURNACES MACHINE LEARNING METHODS
Original languageRussian
Pages (from-to)59-63
Number of pages5
JournalПолитехнический вестник. Серия: Инженерные исследования
Issue number3 (63)
Publication statusPublished - 2023

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ID: 55417117