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
3.5 MB Download
34.4 MB Download
1.2 GB Download
999.2 MB Download
All versions This version
Views 454319
Downloads 356313
Data volume 246.0 GB224.2 GB
Unique views 366275
Unique downloads 172153


Cite as