Improving Reliability of Solar Power with Data Annotation

The growth in solar photovoltaic systems (solar PV) capacity globally has been near exponential over the past 20 years. Solar PV is expected to be the fastest growing renewable energy source in the US until 2050. The ever increasing efficiency of solar panel technology, combined with improvements in manufacturing, installation, and maintenance mean that this vital renewable power resource is set to become a major component in our energy infrastructure. However, challenges remain, particular when it comes to overseeing and fixing faults across thousands of enormous solar PV farms. Machine learning for computer vision may be providing some of the answers to these problems by enabling automated, fault finding applications for solar farms.