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Time dependent prediction of monthly global solar radiation and sunshine duration using exponentially weighted moving average in southeastern of Turkey

机译:使用指数加权移动平均值在土耳其东南部对全球每月太阳辐射和日照时数进行时间依赖性预测

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This paper proposes a new approach for prediction of global solar radiation and sunshine duration based on earlier years of data for the eastern region of Turkey which has a high potential of solar energy. The proposed method predicts the basic parameters using time series and an analysis method. This method is exponentially weighted moving average. This model estimates next years global solar radiation and sunshine duration and is evaluated by statistical parameters, mean absolute percentage error (MAPE) and coefficient of determination, to examine the success of the proposed technique. In our study, the result shows that this method is effective in predicting global solar radiation and sunshine duration as regards of MAPE and coefficient of determination. The calculated MAPE which are between 0-10 kWh/m2 per day were assumed excellent and coefficient of determination were found significant per every year.
机译:本文根据土耳其东部地区具有较高太阳能潜力的早期数据,提出了一种预测全球太阳辐射和日照持续时间的新方法。所提出的方法使用时间序列和分析方法来预测基本参数。此方法是指数加权移动平均值。该模型估计了明年的全球太阳辐射和日照持续时间,并通过统计参数,平均绝对百分比误差(MAPE)和确定系数进行评估,以检验所提出技术的成功性。在我们的研究中,结果表明,就MAPE和确定系数而言,该方法可有效预测全球太阳辐射和日照时间。每天计算出的MAPE介于0-10 kWh / m2之间,被认为是极好的,而且每年的测定系数都很高。

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