What is this about?

The information you provide about your system forms the foundation of all analysis. It also reflects the overall quality of your data. In addition to your inputs, EKO-Q incorporates external data sources, such as irradiance models.

This section summarises the input data used and highlights important points that may affect the irradiance data analysis.

Why this matters

Solar data analysis relies not only on measured data but also on external inputs and assumptions, including system location, climate, weather conditions, and system configuration. Although these inputs are generally reliable, they always carry some level of uncertainty, which can significantly impact the results. 

In addition, key system information is often entered manually and may contain errors. Verifying this information is essential to ensure accurate analysis.

This section helps you keep an eye on the input data before it impacts the results of your analysis.

How to read the results

Location
Ensure that the system location is accurate and precise. Using 4 decimal points provides enough precision (roughly ± 10 m) for most analyses. The minimum of 2 decimal points (roughly ±1 km) may be still enough for some analyses.

Sensor class
Make sure that high-quality instrumentation is used. For Class A monitoring systems (according to IEC 61724-1), a thermopile pyranometer classified as Class A under ISO 9060:2018 is required.

See more details in the detailed section.

For more details, see Detailed version

Next, continue exploring the test summary in: Understand Data Integrity Checks in the Test Summary.

If you want to move on to the detailed report and plots, refer to: Check Input Data in the Detailed Report.

If you would like to review the overall report structure again, see: Read and Understand Your EKO Q Data Quality Report.