Risk Evaluation of Power Grid Investment Based on Logistic Regression Model

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/).

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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  -