一种丰富的自动化PV登记系统：结合图像识别和3D建筑数据
An Enriched Automated PV Registry: Combining Image Recognition and 3D Building Data
摘要：
虽然光伏系统的安装速度前所未有，但关于安装水平的可靠信息仍然很少。因此，自动创建的光伏登记册是优化电网规划和运营的及时贡献。本文演示了如何将航空影像和三维建筑数据相结合，以创建一个地址级PV注册表，指定区域，倾斜和方向角。我们证明了这种方法的好处，光伏容量估计。此外，这项工作首次对自动化和正式创建的PV登记册进行了比较。我们的研究结果表明，我们丰富的自动注册表被证明是有用的验证，更新和补充官方注册表。
英文摘要：
While photovoltaic (PV) systems are installed at an unprecedented rate, reliable information on an installation level remains scarce. As a result, automatically created PV registries are a timely contribution to optimize grid planning and operations. This paper demonstrates how aerial imagery and three-dimensional building data can be combined to create an address-level PV registry, specifying area, tilt, and orientation angles. We demonstrate the benefits of this approach for PV capacity estimation. In addition, this work presents, for the first time, a comparison between automated and officially-created PV registries. Our results indicate that our enriched automated registry proves to be useful to validate, update, and complement official registries.
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