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首页> 外文期刊>Journal of energy and power engineering >Statistical Modeling of Energy Production by Photovoltaic Farms
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Statistical Modeling of Energy Production by Photovoltaic Farms

机译:光伏农场能源生产的统计模型

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摘要

This paper introduces several alternative statistical approaches to modeling and prediction of electric energy generated by photovoltaic farms. The statistical models use outputs of a numerical weather prediction model as their inputs. Presented statistical models allow for easy-to-compute predictions, both in temporal sense and for out-of-sample individual farms. Model performance is illustrated on a sample of real photovoltaic farms located in the Czech Republic.
机译:本文介绍了几种替代统计方法,用于对光伏农场产生的电能进行建模和预测。统计模型使用数字天气预报模型的输出作为输入。呈现的统计模型允许在时间意义上和样本外个体农场进行易于计算的预测。模型性能在位于捷克共和国的实际光伏电站样本中得到了说明。

著录项

  • 来源
    《Journal of energy and power engineering》 |2011年第9期|p.785-793|共9页
  • 作者单位

    Department of Nonlinear Modeling, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague 18207, Czech Republic;

    Department of Nonlinear Modeling, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague 18207, Czech Republic;

    Department of Nonlinear Modeling, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague 18207, Czech Republic;

    Department of Nonlinear Modeling, Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague 18207, Czech Republic;

    Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2V4, Canada;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    electrical energy; solar energy; numerical weather prediction model; nonparametric regression; beta regression;

    机译:电能;太阳能;数值天气预报模型;非参数回归Beta回归;

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