Power consumption prediction methods in metallurgical companies

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F18%3A10241556" target="_blank" >RIV/61989100:27360/18:10241556 - isvavai.cz</a>

Result on the web

—

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Power consumption prediction methods in metallurgical companies

Original language description

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. (C) 2018 TANGER Ltd., Ostrava.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

METAL 2018 : conference proceedings : reviewed version : 27th International Conference on Metallurgy and Materials : May 23rd-25th 2018, Hotel Voronez I, Brno, Czech Republic, EU

ISBN

978-80-87294-84-0

ISSN

—

e-ISSN

neuvedeno

Number of pages

6

Pages from-to

1979-1984

Publisher name

Tanger

Place of publication

Ostrava

Event location

Brno

Event date

May 23, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—