首页> 外文期刊>Renewable energy >Analysis and forecasting of wind velocity in chetumal, quintana roo, using the single exponential smoothing method
【24h】

Analysis and forecasting of wind velocity in chetumal, quintana roo, using the single exponential smoothing method

机译:用单指数平滑法对金塔纳罗奥州金塔纳罗奥州的风速进行分析和预测

获取原文
获取原文并翻译 | 示例
       

摘要

In this paper the analysis and forecasting of wind velocities in Chetumal, Quintana Roo, Mexico is presented. Measurements were made by the Instituto de Investigaciones Electricas (IIE) during two years, from 2004 to 2005. This location exemplifies the wind energy generation potential in the Caribbean coast of Mexico that could be employed in the hotel industry in the next decade. The wind speed and wind direction were measured at 10 m above ground level. Sensors with high accuracy and a low starting threshold were used. The wind velocity was recorded using a data acquisition system supplied by a 10 W photovoltaic panel. The wind speed values were measured with a frequency of 1 Hz and the average wind speed was recorded considering regular intervals of 10 min. First a statistical analysis of the time series was made in the first part of the paper through conventional and robust measures. Also the forecasting of the last day of measurements was made utilizing the single exponential smoothing method (SES). The results showed a very good accuracy of the data with this technique for an a value of 0.9. Finally the SES method was compared with the artificial neural network (ANN) method showing the former better results.
机译:本文对墨西哥金塔纳罗奥州切图马尔的风速进行了分析和预测。电力研究所(IIE)在2004年至2005年的两年中进行了测量。该位置体现了墨西哥加勒比海沿岸风能发电的潜力,该潜力可在未来十年内应用于酒店业。在高于地面10 m处测量风速和风向。使用了高精度和低启动阈值的传感器。使用由10 W光伏面板提供的数据采集系统记录风速。以1 Hz的频率测量风速值,并考虑10分钟的规则间隔记录平均风速。首先在本文的第一部分中通过常规且可靠的方法对时间序列进行了统计分析。还使用单指数平滑方法(SES)对测量的最后一天进行了预测。结果表明,此技术的数据精度非常好,值为0.9。最后,将SES方法与人工神经网络(ANN)方法进行比较,结果表明前者效果更好。

著录项

  • 来源
    《Renewable energy》 |2010年第5期|925-930|共6页
  • 作者单位

    Facultad de Ingenieria Mecanica, Universidad Michoacana de San Nicolas de Hidalgo, Santiago Tapia No. 403, Centro, Mexico;

    Centro de Ivestigacion en Energiu, Universicad National Autonoma de Mexico, Apartado Postal 34, Temixco 62580, Morelos, Mexico;

    Centro de Ivestigacion en Energiu, Universicad National Autonoma de Mexico, Apartado Postal 34, Temixco 62580, Morelos, Mexico;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wind speed forecasting; exponential smoothing method; ANN; ARMA; ARIMA; hybrid systems;

    机译:风速预报;指数平滑法人工神经网络ARMA;ARIMA;混合动力系统;
  • 入库时间 2022-08-18 00:26:44

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号