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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Zhi-jun Dai Qing-quan Song Ye-xin Chen Mian-yun |
| Copyright Year | 2009 |
| Abstract | Scientific forecast is of great importance to the economic phenomenon research and economic decision-making. Therefore, the research about economic forecast theory and method is always a hot topic. This paper proposed an algorithm combined with the grey model, least square method and topology model, which can be a new advanced algorithm for forecasting. Using this new algorithm, the paper forecasts the tendency of average energy consumption per person of our country and then come to the conclusion that the new algorithm is more accurate. It proves that the new algorithm is a good one and can be used by authorities to make strategy decision for economy. |
| Starting Page | 530 |
| Ending Page | 533 |
| File Size | 328402 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769537351 |
| DOI | 10.1109/FSKD.2009.128 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Energy consumption Production systems Automation Grey system Least square method Power generation economics Predictive models Topology Least squares methods Equations Economic forecast Load forecasting Topology algorithm Economic forecasting |
| Content Type | Text |
| Resource Type | Article |
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