| 基于支持向量机的农村用电量需求预测 |
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| 引用本文： | 赵万明,黄彦全,谌贵辉.基于支持向量机的农村用电量需求预测[J].安徽农业科学,2009,37(25):11845-11846. |
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| 作者姓名： | 赵万明 黄彦全 谌贵辉 |
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| 作者单位： | 西南石油大学电子信息工程学院,四川南充,637001;西南交通大学电气工程学院,四川成都,610031 |
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| 基金项目： | 四川省应用基础研究基金项目 |
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| 摘 要： | 提出了一种基于支持向量机的农村用电量需求预测方按。该方法充分发挥支持向量机在解决非线性和有限样本问题方面体现出的优势。保证了预测模型的泛化能力，具有较高的预测精度。实例验证了该方法的有效性。
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| 关 键 词： | 农村用电量 预测 支持向量机 |
Rural Electricity Consumption Demand Forecasting Based on Support Vector Machine |
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| ZHAO Wan-ming et al.Rural Electricity Consumption Demand Forecasting Based on Support Vector Machine[J].Journal of Anhui Agricultural Sciences,2009,37(25):11845-11846. |
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| Authors: | ZHAO Wan-ming |
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| Institution: | ZHAO Wan-ming et al(College of Electronic Information Engineering,Southwest Petroleum University,Nanchong,Sichuan 637001) |
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| Abstract: | A method of rural electricity consumption demand forecasting based on support vector machine has been proposed.This method took full advantage of SVM's ability to solve the problem with nonlinear and small sample,the better generalization capability and the highter prediction accuracy were guaranteed.An example was given to testify the validity of this method. |
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| Keywords: | Rural electricity consumption Forecasting Support Vector Machine |
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