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A Solar Radiation Prediction Model Using Weather Forecast Data and Regional Atmospheric Data

机译:利用天气预报和区域大气数据的太阳辐射预测模型

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Photovoltaic generation fluctuates depending on weather conditions. A reliable prediction of it is required for efficient use of it. This paper proposes a solar radiation prediction model using weather forecast and regional atmospheric data. Parameters not in weather forecast data are shown to be calculated from other parameters in the weather data. Simulation is carried out using hourly weather data of one year. The simulation results show that the cross correlation coefficient between the predicted and measured radiations is 0.947 and the model is reliable enough to predict hourly solar radiations.
机译:光伏发电量会根据天气情况而波动。有效使用它需要可靠的预测。本文提出了利用天气预报和区域大气数据的太阳辐射预测模型。天气预报数据中未包含的参数显示为根据天气预报数据中的其他参数计算得出的。使用一年的每小时天气数据进行模拟。仿真结果表明,预测辐射与实测辐射之间的互相关系数为0.947,该模型的可靠性足以预测每小时的太阳辐射。

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