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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhanting Hu Yanfu Zhang Xiaoqian Du |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Economics and Management, North China Electric Power University, Beijing, China (Yanfu Zhang; Xiaoqian Du) || Electric Power of Henan, Zhengzhou, China (Zhanting Hu) |
| Abstract | With the development of power market, the power company's targets and emphases are changing. Therefore, strengthening the risks' management and control of power marketing security, in order to reduce the company's losses, becomes more and more important. This paper first built an evaluation index system of marketing security risk, proposed an improved BP neural network model, combining principal component analysis (PCA), BP neural network and expert scoring method, then calculated the level of marketing security risk based on the treated data. At last, a test is made to demonstrate the effectiveness of this improved model. The result shows this method could accurately evaluate the security risks of marketing, with strong practical significance for avoiding the marketing security risks of power companies. |
| Starting Page | 1020 |
| Ending Page | 1023 |
| File Size | 468089 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457717000 |
| e-ISBN | 9781457717017 |
| DOI | 10.1109/TMEE.2011.6199377 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training BP neural network Risk evaluation Electricity Neurons Power marketing security Security Indexes Biological neural networks Principal component analysis PCA |
| Content Type | Text |
| Resource Type | Article |
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