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An adaptive model for predicting of global, direct and diffuse hourly solar irradiance

机译:用于预测全球,直接和弥散每小时太阳辐照度的自适应模型

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摘要

In this paper, an adaptive model for predicting hourly global, diffuse and direct solar irradiance is described. A dataset of measured air temperature, relative humidity, direct, diffuse and global horizontal irradiance for Jeddah site (Saudi Arabia) were used in this study. Several combinations have been proposed, and the best performance is obtained by using sunshine duration, air temperature and relative humidity as inputs of the developed adaptive α-model. A good agreement between measured and predicted data is obtained. In fact, the correlation coefficient is more than 97% and the mean bias error is less than 0.8. A comparison between a Feed-Forward Neural Network (FFNN) and the adaptive proposed model is presented in order to demonstrate his performance.
机译:在本文中,描述了一种用于预测小时全球总,漫射和直接太阳辐照度的自适应模型。在这项研究中,使用了吉达站点(沙特阿拉伯)的测得的气温,相对湿度,直接,扩散和整体水平辐照度的数据集。已经提出了几种组合,并且通过使用日照持续时间,气温和相对湿度作为已开发的自适应α模型的输入获得了最佳性能。在测量数据和预测数据之间取得了良好的一致性。实际上,相关系数大于97%,平均偏差误差小于0.8。提出了前馈神经网络(FFNN)与自适应提议模型之间的比较,以证明其性能。

著录项

  • 来源
    《Energy Conversion & Management》 |2010年第4期|P.771-782|共12页
  • 作者单位

    Department of Electronics, Faculty of Sciences Engineering, LAMEL, Jijel University, Ouled-Aissa, P.O. Box 98,Jijel 18000, Algeria The International Centre for Theoretical Physics (ICTP), Strada-Costiera, 1134014 Trieste, Italy;

    rnInstitut National des Sciences Appliquees et de Technologie, Zone Urbaine, Nord Tunis, B.P. 676, Tunisia, Cedex 1080, Tunisia The International Centre for Theoretical Physics (ICTP), Strada-Costiera, 1134014 Trieste, Italy;

    rnDepartment of Physics, Faculty of Sciences, Taibah University, P.O. Box 344, Madinah, Saudi Arabia The International Centre for Theoretical Physics (ICTP), Strada-Costiera, 1134014 Trieste, Italy;

    rnLaboratoire Cristal, Ecole Nationale des Sciences de l'informatique, Universite de Mandouba, 210 Mandouba, Tunisia;

    rnDepartment of Materials and Natural Resources, University of Trieste, Via A. Valerio, 2 - 34127 Trieste, Italy;

  • 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

    solar irradiance; modeling; prediction; neural network;

    机译:太阳辐照度造型;预测;神经网络;

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