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

机译:使用受监控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:光伏模块的性能模型传统上校准了在仔细控制室内或室外条件下的模块输出的测量。最近桑迪亚国家实验室已发布方法,以获取从固定倾斜机架上的模块的测量输出的性能模型参数。在这里,我们调查模型的预测准确性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获得具有可接受精度的性能模型。

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