Data from the bifacial tracking field systems located at NREL, 10 rows x 20 modules. See Dataset user manual for details

Standards and best practices for researchers and users

Trained weights for neural networks. The models can be used to analyze EL images. More details available at https://github.com/hackingmaterials/pv-vision

Real PV Field data for evaluating, validating, or training machine learning algorithms to recognize clipping events. https://doi.org/10.21948/1874779

This data set includes labeled solar array configuration/type satellite images. Data is provided in training, test, and validation folders, and is used by the NREL...

This document is the announcement of the PV Fleets initiative.

This data set contains two example simulated PV data streams with data shifts, to run validation for the PVAnalytics data shift algorithm on.

Images and diagrams of BEST field at NREL

Simulated data for training machine learning algorithms to recognize clipping events.

time series of daily PV performance index labeled for cleaning dates Data DOI: 10.21948/1813454

This data encompasses performance data measured for flat-plate photovoltaic (PV) modules installed in Cocoa, Florida; Eugene, Oregon; and Golden, Colorado. The data include PV...

Data for specimen: G32R

Data for specimen: H23R

Data for specimen: ARL108 taken 2020-07-29

Data for specimen: G1-5

Data for specimen: H41R

Data for specimen: G42R

Data for specimen: H31R

Data for specimen: G26R

Data for specimen: H1-1