Shading, soiling, tracker malfunction, a slightly misaligned sensor: problems in ground measurements are easy to miss, and they quietly shift every result built on the data. In fact, all the ground-measurement datasets we analyzed had quality issues. When the input is flawed, no amount of downstream analysis can fix it, and the uncertainty carries into site adaptation, performance evaluation, forecasting, and due diligence.
In this webinar, you’ll learn which problems to look for in ground measurements, why Excel and custom scripts often miss them, and how comparing measurements against a solar resource model or a nearby sensor reveals issues a simple time series hides.
Watch the recording to see the workflow live in Solargis Analyst, the tool our own analysts use to work with ground-measured data.
