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Title: USE OF AUTOREGRESSIVE MODELS TO ESTIMATE A DEMAND FOR HARD COAL
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USE OF AUTOREGRESSIVE MODELS TO ESTIMATE A DEMAND FOR HARD COAL
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1314-2704
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English
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18
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5.3
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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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conference
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18th International Multidisciplinary Scientific GeoConference SGEM 2018
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18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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975-982
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02-08 July, 2018
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website
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cdrom
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1686
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forecasting; demand for hard coal
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