[1]杨丽徙,张永锋,许向伟,等.半参数回归分析法在电力负荷预测中的应用[J].郑州大学学报(工学版),2010,31(03):29-32.[doi:10.3969/j.issn.1671-6833.2010.03.008]
　Yang Liyu,ZHANG Yongfeng,Xu Xiangwei,et al.Application of semiparametric regression analysis in power load forecasting[J].Journal of Zhengzhou University (Engineering Science),2010,31(03):29-32.[doi:10.3969/j.issn.1671-6833.2010.03.008]

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半参数回归分析法在电力负荷预测中的应用()

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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:

31卷

期数:

2010年03期

页码:

29-32

栏目:

出版日期:

2010-03-01

文章信息/Info

Title:

Application of semiparametric regression analysis in power load forecasting

作者:

杨丽徙; 张永锋; 许向伟; 等.

郑州大学,电气工程学院,河南,郑州,450001, 遂平县电业公司,河南,遂平,463100, 驻马店供电公司,河南,驻马店,463400

Author(s):

Yang Liyu; ZHANG Yongfeng; Xu Xiangwei; etc

关键词:

半参数回归模型;  两阶段最小二乘法;  权重系数法;  参数;  非参数

Keywords:

semiparametric regression models;  Two-stage least squares;  weight coefficient method;  parameters;  Non-parameter

DOI:

10.3969/j.issn.1671-6833.2010.03.008

文献标志码:

A

摘要:

为了融合参数模型和非参数模型的优点,对半参数回归模型在电力负荷预测中的应用进行了研究.在原始数据预处理的基础上,运用相关性分析理论确定了半参数模型中的参数与非参数变量,构建了半参数回归模型;利用两阶段最小二乘法和权重系数法对回归系数和回归参数进行了估计.算例结果表明,半参数回归分析法具有较高的负荷预测精度和较广泛的适用范围.

Abstract:

In order to integrate the advantages of parametric and nonparametric models, the application of semiparametric regression model in power load prediction is studied. On the basis of the original data preprocessing, the correlation analysis theory was used to determine the parametric and nonparametric variables in the semiparametric model, and the semiparametric regression model was constructed. The regression coefficients and regression parameters were estimated by using the two-stage least squares method and the weight coefficient method. The example results show that the semiparametric regression analysis method has high load prediction accuracy and wide application range.

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