Prediction of daily peak electricity demand in South Africa using volatility forecasting models

@inproceedings{Sigauke2011PredictionOD,
  title={Prediction of daily peak electricity demand in South Africa using volatility forecasting models},
  author={Caston Sigauke and Delson Chikobvu},
  year={2011}
}
Daily peak electricity demand forecasting in South Africa using a seasonal autoregressive integrated moving average (SARIMA) model, a SARIMA model with generalized autoregressive conditional heteroskedastic (SARIMA-GARCH) errors and a regression-SARIMA-GARCH (Reg-SARIMA-GARCH) model is presented in this paper. The GARCH modeling methodology is introduced to accommodate the possibility of serial correlation in volatility since the daily peak demand data exhibits non-constant mean and variance… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 43 REFERENCES

Multivariate adaptive regression splines

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Daily peak electri

C. Sigauke, D. Chikobvu
  • 2010
VIEW 3 EXCERPTS

Functional clust

A. Goia, C. May, G. Fusai
  • 2010
VIEW 1 EXCERPT

Real time detection of structural breaks in GARCH models

M. Hekkenberg, J. BendersR.M., C. MollH., M. SchootUiterkampA.J.
  • Computational Statistics and Data Analysis
  • 2010

Real time detection of structural breaks in GARCH models

  • Computational Statistics & Data Analysis
  • 2010
VIEW 1 EXCERPT

Tempered stable and tempered

  • 2010