
USE OF AUTOREGRESSIVE MODELS TO ESTIMATE A DEMAND FOR HARD COAL
(STEF92 Technology, 2018-06-20, Anna Manowska)
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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.





