| 能源需求的支持向量机预测 |
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| 引用本文： | 陈钢,高尚.能源需求的支持向量机预测[J].科学技术与工程,2008,8(3):757-759763. |
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| 作者姓名： | 陈钢 高尚 |
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| 作者单位： | 1. 江苏索普集团,镇江,212006
2. 江苏科技大学电子信息学院,镇江,212003 |
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| 摘 要： | 对灰色、神经网络和支持向量机的三个预测模型进行了研究,以某城市的1999-2006年能源需求为例,对能源需求进行了预测.经过比较,支持向量机的预测方法精度较高.
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| 关 键 词： | 灰色系统 神经网络 支持向量机 能源 |
| 收稿时间： | 2007-10-24 |
| 修稿时间： | 2007年10月24 |
Energy Demand Forecast Based on Support Vector Machine |
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| CHEN Gang,GAO Shang.Energy Demand Forecast Based on Support Vector Machine[J].Science Technology and Engineering,2008,8(3):757-759763. |
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| Authors: | CHEN Gang GAO Shang |
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| Abstract: | The grey system forecasting model, neural network forecasting model and support vector machine forecasting model are proposed. Taking energy demand of a city from year of 1999 to 2006 as a study case, the forecasting results are got by three methods. From the forecasting results, the accuracy can conclude of the support vector machine forecasting method is higher. |
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| Keywords: | grey system neural network support vector machine combining forecasting energy |
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