基于线性回归和岭回归的智能功率因数校正方法

2011 10th International Conference on Machine Learning and Applications and Workshops Pub Date : 2011-12-18 DOI:10.1109/ICMLA.2011.34

R. Bayindir, Murat Gök, E. Kabalci, O. Kaplan

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引用次数: 7

摘要

提出了一种基于线性回归(LR)和岭回归(RR)方法的智能功率因数校正方法。使用10倍交叉验证(CV)测试协议来评估性能。与RR相比，LR获得了最佳的测试性能。实证结果表明，本文开发的智能补偿器可以克服文献中遇到的问题，提供准确、简单和低成本的补偿方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Intelligent Power Factor Correction Approach Based on Linear Regression and Ridge Regression Methods

This study introduces an intelligent power factor correction approach based on Linear Regression (LR) and Ridge Regression (RR) methods. The 10-fold Cross Validation (CV) test protocol has been used to evaluate the performance. The best test performance has been obtained from the LR in comparison with RR. The empirical results have evaluated that the selected intelligent compensators developed in this work might overcome the problems met in the literature providing accurate, simple and low-cost solution for compensation.

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来源期刊

2011 10th International Conference on Machine Learning and Applications and Workshops

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