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Vol 186
Pages:
165-169
Download volume:
RUS
Article

Forecasting the power consumption of mines on the basis of stochastic time-series models

Authors:
A. A. Chernysh1
O. B. Shonin2
About authors
  • 1 — Saint Petersburg State Mining Institute (Technical University)
  • 2 — Saint Petersburg State Mining Institute (Technical University)
Date submitted:
2009-08-02
Date accepted:
2009-10-29
Date published:
2010-04-22

Abstract

The paper is devoted to building up time series models to forecast the power consumption of a mine. The results discussed are obtained using various linear filter models and artificial neural network. The wavelet transform of the raw time series is shown to be an efficient technique to increase the forecasting accuracy.

Область исследования:
(Archived) Geotechnical engineering, powerengineering and automation
Keywords:
power consumption time series time series model forecasting
Funding:

None

Go to volume 186

References

  1. Box G., Jenkins G. Time series analysis: Forecasting and control. Moscow. Mir, 1974. Vol. 1. 406 p.; Vol.2., 197 p.
  2. Galushkin A.IJ. Neural Networks Theory. Vol.1: Tutorial/IPRZR. Moscow, 2000. 416 р.
  3. Novikov L.V. Introductory wavelet signal analysis: Tutorial. Saint Petersburg: IAnP RAN, 1999. 152 р.
  4. Shumilova G.P., Gotman N.E., Startzeva T.B. Forecasting the power consumption of power grid on the basis of novel information technologies. Yekaterinburg: UrO RAN, 2002. 25 р.

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