Abstract
The aim of this paper is to solve the problem how the electric power construction group company determines the completed amount of each branch every year. It introduced the GM (1, 1) model and gray prediction accuracy requirement, and made some improvement on the model. Then it used the model to predict a subsidiary’s annual completed index and the result showed the improved model has higher prediction precision. Finally, used this model to predict the nearly two years of the subsidiary’s annual completed indexes.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Niu, D., Cao, S., et al.: Power Load Forecasting Technology and Application. China Power Press (1998)
Deng, J.: Grey Prediction and Grey Decision. Huazhong University of Science and Technology Press, Wuhan (2002)
Liu, S., Dang, J.: Grey System Theory and Application. Science Press (2004)
Li, J.: The Research on Electric Construction Project Management Information System Based on WEB. North China Electric Power University (2010)
Liu, C.: HBO Electric Power Construction Company Development Strategy Research. Huazhong University of Science and Technology (2008)
Wang, Z., Ren, Y.: The Establishment of Electric Power Construction Company and Performance of Integrated Management System. Electric Power Standardization and Technical Economy (3) (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, W., Zhang, B. (2013). Research on Determining Subsidiaries’ Annual Completed Index of Electric Power Construction Group Company Based on the Grey System Theory. In: Jin, D., Lin, S. (eds) Advances in Mechanical and Electronic Engineering. Lecture Notes in Electrical Engineering, vol 178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31528-2_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-31528-2_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31527-5
Online ISBN: 978-3-642-31528-2
eBook Packages: EngineeringEngineering (R0)