| 最小二乘法线损率预测技术研究 |
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| 引用本文： | 陈宗梅.最小二乘法线损率预测技术研究[J].科技通报,2012,28(6):109-111. |
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| 作者姓名： | 陈宗梅 |
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| 作者单位： | 重庆电子工程职业学院通信工程系,重庆,401331 |
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| 摘 要： | 为了提高预测精度,提出了一种改进的最小二乘法线损预测技术。算法首次将核偏最小二乘回归算法应用于线损率预测。实验表明,提出的方法能够较好地克服变量相关性和非线性因素对预测模型的不利影响。
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| 关 键 词： | 线损率 核偏最小二乘回归 预测 |
Least Squares Line Loss Rate Prediction Technology Research |
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| CHEN Zongmei.Least Squares Line Loss Rate Prediction Technology Research[J].Bulletin of Science and Technology,2012,28(6):109-111. |
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| Authors: | CHEN Zongmei |
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| Institution: | CHEN Zongmei (Vocational College of Electronic Engineering in Chongqing,Chongqing 401331,China) |
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| Abstract: | In this paper,in order to improve the forecast accuracy,put forward a kind of improved method of least squares loss forecast technology.Algorithm for the first time the kernel partial least squares regression algorithm is applied to the line loss rate prediction.Experiments show that,this method can overcome the variable correlation and prediction model of nonlinear factors on adverse effects. |
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| Keywords: | line loss rate kernel partial least squares regression prediction |
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