The continuous and systematic analysis of performance data from the monitoring of operational PV power plants is vital to improving the management and thus profitability of those plants over their lifetime. The article draws on an extensive programme undertaken by 3E to assess the performance of a portfolio of European PV power plants it monitors. The article illustrates 3E’s approach to automatic fault detection. It will explore the various data mining methodologies used to gain an accurate understanding of the performance of large-scale PV systems and how that intelligence can be put to the best use for the optimal management of solar assets.
3E’s work on automatic fault detection and diagnosis has received funding from the European Union under the MANTIS project.
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