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.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Wang, S.-H.: Electric Power Requirements Prediction Based on the ARMA Model. Journal of Inner Mongolia University for Nationalities (6) (2008)
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)
Box, G.E.P.: Time Series Analysis Forecasting and Control. China Statistics Press (1999)
Yi, D.-H.: Data Analysis and Application of Eviews, p. 106. China Statistics Press (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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)