Fracsun Blog

CLEO AI, empowers operators to navigate these challenges by delivering data-driven forecasts of soiling. By combining localized soiling data from ARES stations with regional weather patterns and auto‑regressive machine learning, CLEO generates actionable insights that optimize cleaning schedules, reduce costs, and safeguard energy yield.

Dust storms and pollen can coat your modules in a matter of hours. When temperatures rise and skies stay clear, summer months often...

Whether your arrays sit in remote deserts or sprawling farmland, you need continuous, reliable soiling and irradiance data to know when and where to clean. Enter the ARES Soiling Station: a self‑powered, solar‑charged sensor with built‑in eSIM, deep‑sleep battery management, and flexible comms that keep you plugged in 24/7—no matter how tough the field conditions.

In solar energy, soiling—the buildup of dust, pollen, and debris on panels—is one of the most underestimated performance killers. Left...

Move beyond guesswork with the ARES Soiling Station, a turnkey, reference‑cell based solution that delivers real‑time, data‑driven soiling insights to optimize your cleaning regimen, preserve energy yield, and protect your bottom line.