Skip to main content

The Application of ARIMA Modle in the Prediction of the Electricity Consumption of Jiangsu Province

  • Conference paper
Advances in Technology and Management

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 165))

  • 1045 Accesses

Abstract

Forecasts of electricity can play a rational allocation of resources and avoid wasting . It is an important guiding significance to the regional economic development. Based on the annual electricity consumption data of Jiangsu Province, the ARIMA model of Jiangsu Province’s electricity is established and make prediction.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wang, S.-H.: Electric Power Requirements Prediction Based on the ARMA Model. Journal of Inner Mongolia University for Nationalities (6) (2008)

    Google Scholar 

  2. Liu, Y., Wang, X.-H.: The Application of ARIMA Model in the Prediction of the Energy Consumtion of Our Country. Statistics and Decision (5) (2007)

    Google Scholar 

  3. Box, G.E.P.: Time Series Analysis Forecasting and Control. China Statistics Press (1999)

    Google Scholar 

  4. Yi, D.-H.: Data Analysis and Application of Eviews, p. 106. China Statistics Press (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wu Min .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag GmbH Berlin Heidelberg

About this paper

Cite this paper

Min, W., Jia-he, C. (2012). The Application of ARIMA Modle in the Prediction of the Electricity Consumption of Jiangsu Province. In: Kim, H. (eds) Advances in Technology and Management. Advances in Intelligent and Soft Computing, vol 165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29637-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29637-6_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29636-9

  • Online ISBN: 978-3-642-29637-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics