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

Author:

Lu Yan1ORCID,Niu Dongxiao1ORCID,Qiu Jinpeng1,Liu Weidong23

Affiliation:

1. North China Electric Power University, No. 2, Beinong Road, Huilongguan, Changping District, Beijing 102206, China

2. Zhejiang Electric Power Corporation, Economic Institute of Technology, No. 1, Nanfu Road, Shangcheng District, Zhejiang 310008, China

3. Xi’an Jiaotong University, No. 74, West Road, Yanta District, Xi’an 710049, China

Abstract

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.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Reference28 articles.

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