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Data requirements for calibration of photovoltaic system models using monitored system data

机译:使用监视的系统数据校准光伏系统模型的数据要求

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Performance models for photovoltaic modules are traditionally calibrated from measurements of module output under carefully controlled indoor or outdoor conditions. Recently Sandia National Laboratories has published methods to obtain performance model parameters from measured output of modules outdoors on fixed tilt racks. Here we investigate the dependence of a model's prediction accuracy on the amount of data used to calibrate the model's parameters. We find that performance models with acceptable accuracy can be obtained from relatively limited data sets.
机译:传统上,在仔细控制的室内或室外条件下,通过对模块输出的测量来校准光伏模块的性能模型。最近,桑迪亚国家实验室(Sandia National Laboratories)已发布了一些方法,这些方法可以从固定倾斜机架上室外模块的测量输出中获得性能模型参数。在这里,我们研究了模型的预测精度对用于校准模型参数的数据量的依赖性。我们发现可以从相对有限的数据集中获得具有可接受精度的性能模型。

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