Clir Blog Improve your understanding and reporting of GE downtime

Accurately interpreting turbine event data is critical to identifying when, and categorizing why, wind turbines are not operating. It can impact the accuracy of reporting, skew benchmarking data, obscure true issues and areas of loss, and impact a farm's valuation. At Clir, events feed into many of our tools, including our waterfall loss categories, reporting functionality and energy yield assessments. Accurately labelled events improve overall data quality and integrity, and we rely on turbine event processing algorithms to provide this accuracy.