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Estimation of Solar Radiation of Clear Sky using Non-Linear Methods Case Study: Fuerteventura (Spain)

机译:非线性方法估算晴空太阳辐射案例研究:Fuerteventura(西班牙)

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摘要

The knowledge of irradiation in a geographical area is very important for multiple areas for the development of the area. Current calculation systems are based on statistical models of measurements of ground stations, or by external radiation calculations by satellite models. In this paper we show another method of calculation, based on the estimation of the incident radiation in a geographical area, through the production of electric energy generated by known photovoltaic solar installations. With the data of several years of three installations with equal inclination, model of solar panels, and in the same geographical area, the island of Fuerteventura, in the Canary Islands (Spain), we perform monthly irradiation calculations based on the total production of each month. With the calculated irradiation data, we performed a statistical study of them, using the ARIMA model with the SPSS Statistics software and we also carried out the study using a Fourier series decomposition model. With the two models, we made a comparison by measuring the forecast errors with the indicators of the root-mean-square error (RMSE) the mean absolute percentage error (MAPE) and its regression coefficient R~2. We verify the validity of the method shown for both statistical models of irradiation prediction and verify that the best results are obtained for the Fourier decomposition model.
机译:地理区域的辐射知识对于该地区发展的多个领域非常重要。电流计算系统基于地面站测量的统计模型,或通过卫星模型的外部辐射计算。在本文中,我们示出了另一种计算方法,基于地理区域的入射辐射估计,通过生产已知的光伏太阳能装置产生的电能。随着多年三个安装的数据,具有平等倾向,太阳能电池板的模型,在加那利群岛(西班牙)的富埃特文图拉岛的同一地理区域,我们根据每个的总产量进行每月辐照计算月。通过计算的辐照数据,我们对它们进行了统计研究,使用SPSS统计软件的Arima模型,我们还使用傅里叶系列分解模型进行了研究。通过这两种模型,我们通过测量与根均方误差(RMSE)的指示器的预测误差进行了比较,平均绝对百分比误差(MAPE)及其回归系数R〜2。我们验证了针对辐射预测统计模型所示的方法的有效性,并验证傅立叶分解模型获得了最佳结果。

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