Machine learning for predictive maintenance in large-scale PV plants
Scientists have developed a machine-learning model – utilizing K-Means and long short-term memory techniques – that aims to overcome ‘fault detection and classification’ in the operation and maintenance of large-scale solar PV farms.
Study of 100,000 arrays finds proactive O&M preferable
The US National Renewable Energy Laboratory examined five-year data to observe the most common system failure points and how to prevent them. Researchers considered residential, commercial and utility scale plants and found interesting results. While failures cannot be avoided completely, a key takeaway was that close monitoring and timely repair can effectively mitigate the financial effects of failures.
