POWER CONSUMPTION PREDICTION METHODS IN METALLURGICAL COMPANIES

1 FRISCHER Robert
Co-authors:
1 PRAŽÁKOVÁ Veronika 1 ŠVEC Pavel
Institution:
1 VSB - Technical University of Ostrava, Ostrava, Czech Republic, EU, robert.frischer@vsb.cz
Conference:
27th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 23rd - 25th 2018
Proceedings:
Proceedings 27th International Conference on Metallurgy and Materials
Pages:
1979-1984
ISBN:
978-80-87294-84-0
ISSN:
2694-9296
Published:
24th October 2018
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
18 views / 7 downloads
Abstract

Power consumption is a key component in all technical branches, not only in metallurgical companies. The reason is quite simple. Consumed energy is often the last area, where can be realized economical saving. If the company want to save some energy fees, it has to reduce penalty fees, which arise from wrong power consumption estimation over the time. This paper is dedicated to prediction methods, based on historical energy data, which can be used to proper power consumption estimation.

Keywords: prediction, estimation, energy consumption, historical data, optimal, penalty fees.
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