Solargik presents new assistance platform for the operation of solar parks

Solargik, a provider of agri-PV systems and off-road tracking systems, has developed a new solution for operating solar farms. The new tool, Sunnie, is an assistance solution that uses artificial intelligence (AI) to generate concrete recommendations for operators based on live plant data. Sunnie goes a step further than previous management systems. These are based on dashboards that display live plant data at varying levels of granularity, but operators still have to analyze the data and derive the necessary responses.

Handling complex data

At Sunnie, AI takes care of this. "With Sunnie, we've closed the gap between data and decision-making," explains Gil Kroyzer, Managing Director of Solargik. "In the information age, where we have a wealth of data at our disposal, the challenge for solar installations has shifted from accessibility and collection to generating actionable insights. This is precisely what Sunnie does: It transforms complexity into clarity and enables operators to respond to real-world conditions in real time."

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Plant data combined with language models

Sunnie draws on data from Solargik's SOMA Pro SCADA platform to generate its recommendations. The operating data recorded there from inverters, trackers, and battery storage systems, as well as sensor data, are combined with large language models (LLMs). Sunnie can continuously adapt to changing data and site conditions.

Propose concrete corrective measures

The operations manager can then ask specific questions in Sunnie. How much energy did my three locations produce this week? Which inverter errors had the greatest impact on performance yesterday? Sunnie provides clear answers to these and similar questions and immediately reports hidden problems by instantly analyzing location data.

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The assistant then suggests specific corrective actions. "We developed Sunnie as an interface—an evolution—for site operators, enabling them to anticipate problems and identify correlations, identify patterns across large solar plants, and gain insights that were previously impossible," says Gil Kroyzer. "Sunnie not only displays data, but also removes the limitations of correlation between sites, identifies the causes of performance degradation, and suggests the best corrective actions. This transforms it from a monitoring tool into a true decision-making assistant," emphasizes Kroyzer.

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