论文标题
未标记的PV数据中阴影损失的估计
Estimation of Shade Losses in Unlabeled PV Data
论文作者
论文摘要
我们提供了一种方法来估算由现实世界光伏（PV）系统产生的发电数据集损失的损失。我们将这项工作重点放在估计未标记的数据的阴影损失上，即使用时间戳的功率测量，但没有其他信息，例如站点配置或气象数据。这种方法首次实现了通过小型，分布式PV系统生成的数据的分析，这些数据没有大型，公用事业规模的PV系统或研究级安装的数据质量或丰富性。这项工作是新发布的信号分解（SD）框架的应用，该框架提供了一种可扩展的方法来估计时间序列数据中隐藏的组件。
We provide a methodology for estimating the losses due to shade in power generation data sets produced by real-world photovoltaic (PV) systems. We focus this work on estimating shade loss from data that are unlabeled, i.e. power measurements with time stamps but no other information such as site configuration or meteorological data. This approach enables, for the first time, the analysis of data generated by small scale, distributed PV systems, which do not have the data quality or richness of large, utility-scale PV systems or research-grade installations. This work is an application of the newly published signal decomposition (SD) framework, which provides an extensible approach for estimating hidden components in time-series data.
