Predicting the demand for electric power as a means of making the metallurgical industry more efficient

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Predicting the demand for electric power as a means of making the metallurgical industry more efficient

Bazhinov, A. N.; Ershov, E. V.

Metallurgist (New York), 03/2012, Volume: 55, Issue: 11-12

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This article examines the use of predictions of electrical demand as a means of making the metallurgical industry more efficient and discusses one approach – the use of decision trees – to solving problems that involve automated data analysis. The concept of the significance of input attributes is introduced together with a formula for calculating it. Results are presented from practical application of this method to the problem of finding the significant factors for forecasting the electric-power needs of a metallurgical plant.

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