This dataset contains voltage, current, power, energy, and weather data from low-voltage substations and domestic premises with high uptake of solar photovoltaic (PV) embedded generation.
A photovoltaic (PV) dataset from satellite and aerial imagery. The dataset includes three groups of PV samples collected at the spatial resolution of 0.8m, 0.3m and 0.1m, namely PV08 from Gaofen-2 and Beijing-2 imagery, PV03 from aerial photography, and PV01 from UAV orthophotos. PV08 contains rooftop and ground PV samples.
What is the PvP dataset?
It is a public dataset for extracting high-quality photovoltaic panels in large-scale systems. The PVP Dataset contains 4640 pairs image of PV panel samples from 13 provinces in China.
What is a multi-resolution dataset for PV panel segmentation?
This study built a multi-resolution dataset for PV panel segmentation, including PV08 from Gaofen-2 and Beijing-2 satellite images with a spatial resolution of 0.8 m, PV03 from aerial images with a spatial resolution of 0.3 m, and PV01 from UAV images with a spatial resolution of 0.1 m.
We create a first-of-its-kind dataset, Solar Panel Soiling Image Dataset, comprising of 45,754 images of solar panels with power loss labels. Our experimental setup consists of two identical solar panels, which are kept side by side with an RGB camera facing them.
What is the spatial resolution of a solar PV dataset?
We established a PV dataset using satellite and aerial images with spatial resolutions of 0.8, 0.3, and 0.1 m, which focus on concentrated PVs, distributed ground PVs, and fine-grained rooftop PVs, respectively.
Which datasets include annotated solar panels in native resolution and HD satellite imagery?
The complete dataset contains native resolution satellite imagery, corresponding HD imagery, and solar panel object labels for each image type (Fig. 1). To the best knowledge of the authors, there are no publicly available datasets including annotated solar panels in native resolution and HD satellite imagery.