Risk Evaluation of Power Grid Investment Based on Logistic Regression Model
Authors
Lu Xiaofen, Cai Zhanghua, Xu Qian, Jin Chuan, Liu Fuyan
Corresponding Author
Lu Xiaofen
Available Online August 2015.
- DOI
- 10.2991/icaicte-15.2015.63How to use a DOI?
- Keywords
- Power Grid Investment; Risk Evaluation; Logistic Regression Model; Probability Analysis; Empirical analysis
- Abstract
The power grid investment is affected by natural, economic, policy and many other uncertain factors. Long development cycle and large-scale funds are needed by the investment. Therefore, risk management is an important element in the process of power grid investment. In this paper, power sale price, power sale quantity, power purchase price and asset liability ratio are analyzed. Logistic theory is used to build risk evaluation model of the power grid investment. Case study suggests that the model is an efficient method to fit the risk evaluation of power grid investment projects, which can deal with many uncertain factors and evaluate the risk of projects.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lu Xiaofen AU - Cai Zhanghua AU - Xu Qian AU - Jin Chuan AU - Liu Fuyan PY - 2015/08 DA - 2015/08 TI - Risk Evaluation of Power Grid Investment Based on Logistic Regression Model BT - Proceedings of the 2015 3d International Conference on Advanced Information and Communication Technology for Education PB - Atlantis Press SP - 263 EP - 266 SN - 2352-538X UR - https://doi.org/10.2991/icaicte-15.2015.63 DO - 10.2991/icaicte-15.2015.63 ID - Xiaofen2015/08 ER -