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USE OF AUTOREGRESSIVE MODELS TO ESTIMATE A DEMAND FOR HARD COAL

Anna Manowska

First published: 2018-06-20https://doi.org/10.5593/sgem2018/5.3/s28.124View metrics

Abstract

Forecasting a demand for hard coal is no easy feat, especially at times when there are constant transformations of the country?s energy mix structure. This stage should be realized in every mining company as grave mistakes in estimating a prospective sale may result in a disadvantageous economic situation of a company. The article presents an autoregressive model which mining companies may use to analyse the predicted sale of a raw material in order to plan an action strategy based on the achieved results.

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Publication details

Title
USE OF AUTOREGRESSIVE MODELS TO ESTIMATE A DEMAND FOR HARD COAL
Authors
Anna Manowska
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2018
Pages
975-982
SWS Citekey
Manowska201821975982
ISSN
1314-2704
ISBN
978-619-7408-48-5
Language
en
Publication type
Conference Paper
Keywords
forecastingdemand for hard coal
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