| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1733712 | Energy | 2012 | 7 Pages |
Abstract
⺠We use three approaches to develop optimal grey prediction model. ⺠ES method is used to find weighting in time series data. ⺠Taylor approximation method is used to optimize parameters of ESGM(1,1). ⺠Compensation approach based Markov chain model is employed to enhance prediction power. ⺠Prediction result in atomic power generation prediction is satisfactory.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Energy (General)
Authors
Guo-Dong Li, Shiro Masuda, Masatake Nagai,