Investment Risk Evaluation for Demand Side Management: Improved Bayesian Model

DOI

10.2991/icitmi-15.2015.38How to use a DOI?

Keywords

DSM; investment risk; Bayesian risk investment evaluation model; Entropy Weight method; Normalization method.

Abstract

The vigorous promotion of DSM is of great significance in improving energy conservation and power system reliability. At present, DSM technology of China has been developed, meanwhile, related projects will be carried out extensively. Therefore, investment risk evaluation for DSM projects of power enterprises is of significant urgency. To begin with we will provide investment risk evaluation system for DSM projects based on characteristics of power utilization in China. Secondly, the improved Bayesian risk investment evaluation model will be established. Compared with traditional Bayesian model, Entropy Weight method will be used to calculate the weight of every index. At the same time, Normalization method has been introduced to normalize the value of indices. Last but not least, analysis of examples is preceded to prove the practicality of the model in this paper and provide a reference for the DSM projects in power enterprises.

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  - Changxin Yin
AU  - Ming Zeng
AU  - Xuefeng Ma
AU  - Lu Yin
AU  - Yang Lv
AU  - Bin Shu
AU  - Chunxue Li
PY  - 2015/10
DA  - 2015/10
TI  - Investment Risk Evaluation for Demand Side Management: Improved Bayesian Model
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 217
EP  - 223
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.38
DO  - 10.2991/icitmi-15.2015.38
ID  - Yin2015/10
ER  -