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Mathematical Problems in Engineering
Volume 2015, Article ID 651878, 11 pages
Research Article

Prediction Technology of Power Transmission and Transformation Project Cost Based on the Decomposition-Integration

1North China Electric Power University, No. 2, Beinong Road, Huilongguan, Changping District, Beijing 102206, China
2Zhejiang Electric Power Corporation, Economic Institute of Technology, No. 1, Nanfu Road, Shangcheng District, Zhejiang 310008, China
3Xi’an Jiaotong University, No. 74, West Road, Yanta District, Xi’an 710049, China

Received 29 October 2014; Revised 10 March 2015; Accepted 17 March 2015

Academic Editor: Alex Elías-Zúñiga

Copyright © 2015 Yan Lu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Through the analysis of power transmission and transformation project cost, total cost can be decomposed into construction cost, equipment purchase cost, installation cost, and other costs. This paper proposes a decomposition-integration cost prediction model taking a substation project as an example by fully considering the cost characteristics. In decomposition module, the total cost is decomposed into four expenses. In prediction module, different forecasting models are selected to forecast different expense. In integrated module, choose different integration methods to get the predicting results of total cost. The empirical results show that decomposition-integration prediction algorithm has good effect which can effectively predict the cost of power transmission and transformation project and has practical application and popularization value.