Dataset Open Access

Dataset for detecting the electrical behavior of photovoltaic panels from RGB images

Mateo Rico-Garcia; Juan Pablo Villegas Ceballos; Carlos Andres Ramos Paja

The dynamic reconfiguration and maximum power point tracking in large-scale photovoltaic (PV) systems require a large number of voltage and current sensors. In particular, the reconfiguration process requires a pair of voltage/current sensors for each panel, which introduces costs, increases size and reduces reliability of the installation. A suitable solutions for reducing the number of sensors is to adopt image-based solution to estimate the electrical characteristics of the PV panels, but the lack of reliable data with large diversity of irradiance and shading conditions is a major problem in this topic. Therefore, this paper presents dataset correlating RGB images and electrical data of PV panels with different irradiance and shading conditions. The dataset was designed to support the design of image-based estimators of electrical data, which could be used to replace large arrays of sensors. The paper also describes the measurement platform used to collect the data, which helps to replicate the experiments in different geographical locations.

Files (2.3 GB)
Name Size
Electrical_data.zip
md5:de1eca0c8b8393b651e1560e8411264c
3.5 MB Download
Features.xlsx
md5:a701f1f70d74beee2ebd2345f2c0e3e3
34.4 MB Download
Images.zip
md5:5d9ff4b3a3552f0572a1cddce2db444a
1.2 GB Download
Images_perspective.zip
md5:97ad685734b41a4229e79cee98fa565a
999.2 MB Download
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