• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Energy Conversion & Management >Solar irradiation estimation by monthly principal component analysis
【24h】

Solar irradiation estimation by monthly principal component analysis

机译：通过每月主成分分析估算太阳辐射

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Simple solar irradiation estimation models most often use classical regression analysis with a set of restrictive assumptions. They work with actual measurements on Cartesian coordinate systems, and given the predictor as sunshine duration, the solar irradiation amount is estimated through a regression model. The variances of solar irradiation and sunshine data are not considered explicitly whereas they are physically significant in representing diffusion, absorption and reflection of the solar irradiation depending on the atmospheric composition and weather situation, especially, in terms of cloudiness, which is directly related to sunshine duration during day light. This paper proposes more efficient approach in terms of physical interpretations and mathematical convenience in modeling solar irradiation and sunshine duration relationship. For this purpose, two dimensional principal component analysis is employed and the solar irradiation estimations are found more reliably than the classical approaches. The application of the methodology is presented for five sunshine duration and irradiation record stations in Turkey.
机译：简单的太阳辐射估算模型最经常使用带有一组限制性假设的经典回归分析。他们在笛卡尔坐标系上进行实际测量，并将预测变量作为日照持续时间，通过回归模型估算太阳辐射量。没有明确考虑太阳辐射和日照数据的方差，而它们在表示太阳辐射的扩散，吸收和反射方面具有物理意义，具体取决于大气成分和天气情况，尤其是在阴天方面，与太阳直接相关白天的持续时间。本文从物理解释和数学便利性方面提出了一种更有效的方法来模拟太阳辐射和日照持续时间的关系。为此，采用了二维主成分分析，并且比经典方法更可靠地找到了太阳辐射估计值。介绍了该方法在土耳其的五个日照时间和辐照记录站的应用。

著录项

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