Predictive maintenance is emerging as an essential tool to keep high technical and economic performances of solar PV plants. Such maintenance is possible through the use of data and applying machine learning and artificial intelligence concepts to these data.
Such data can include both data from the power plant components (modules, inverters..) as well from external parameters such as climate and weather.
Applying powerful data mining and analyses tools to such data can provide advance intelligence to asset owners on fault prediction, specific suggestions for maintenance activities and expected impacts from weather and climate.
14-12-2020
18-02-2021
Digital
Solution provider
Solar energy