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.
© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.