Uncover hidden faults, secure yields.
Is your PV system really running optimally? Yield losses and defects often go unnoticed because they hide behind weather fluctuations. Our monitoring data provides you with the precise target performance for the past six months – the perfect reference to assess your system’s actual performance.
Your digital twin for performance checks
Our monitoring data is a high-resolution 15-minute time series that simulates the optimal performance of your PV system under actual past weather conditions. You can compare this target value directly with your measured actual data. This way, you identify deviations at a glance – in pvnode Studio or via our API.
More than just numbers: Clear foundations for action
Detect faults and defects instantly
A dirty module, a defective string, or an inverter issue? The direct target-actual comparison unmasks systematic faults that would otherwise be lost in pure yield data, allowing you to initiate targeted maintenance.
Reliably assess degradation
Every system loses performance over time. With our precise reference data, you can isolate actual degradation from weather influences and assess whether performance still meets guarantees.
Optimize O&M reporting
Create meaningful performance reports for yourself or your customers. Objectively prove your system's output and document the effectiveness of maintenance measures with a reliable data foundation.
A reference worthy of the name
A target-actual comparison is only as good as the target data. That’s why we replicate reality as precisely as possible to enable you to carry out reliable analyses.
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Realistic loss calculation: Instead of generalized deductions, we calculate real losses due to snow and soiling based on actual weather events and site conditions.
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Whole system in view: Even in monitoring, you can consider the interaction with storage and other consumers to enable a holistic performance analysis.
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High-resolution weather data: Our calculations are based on the best available historical and satellite-based weather data for maximum accuracy in creating references.