Short-term wind speed forecasting based on non-parametric kernel density estimation

机译：基于非参数核密度估计的短期风速预测

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In this paper, a wind speed forecasting method based on non-parametric kernel density estimation is proposed. This method does not need to use any prior knowledge or make any additional assumptions of distributed data. This paper will show how to use N-W method which is one of non-parametric kernel estimator methods in wind speed forecasting, including how to get the stationary series, choose the dimension, the bandwidth, and how to calculate the confidence interval. The method is tested by utilizing the measured wind speed data of a wind farm from one month period of May 2010.

机译：提出了一种基于非参数核密度估计的风速预测方法。此方法不需要使用任何先验知识或对分布式数据进行任何其他假设。本文将展示如何在风速预测中使用非参数核估计器方法之一的N-W方法，包括如何获得平稳序列，选择维数，带宽以及如何计算置信区间。该方法通过利用从2010年5月一个月开始的风电场测得的风速数据进行测试。

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来源
《IEEE Innovative Smart Grid Technologies - Asia;ISGT Asia》|2012年|p.1- 5|共5页
会议地点 Tianjin(CN)
作者
Jiegui Zhou; Jia Hongjie; Zhen Tian; Linlin Hu;
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作者单位

School of Electrical Engineering Automation, Tianjin University, China;

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原文格式 PDF
正文语种 eng
中图分类无线电设备、电信设备;
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5. Short-term forecasting of wind speed and wind power based on BP and Adaboost_BP. [D] . Mi, Sibei. 2014

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Short-term wind speed forecasting based on non-parametric kernel density estimation

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