Explore the Fracsun Blog for insightful articles, resources, and updates on solar energy. Stay informed about industry trends, best practices, and the latest innovations in renewable energy.
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.
Effectively managing soiling is especially critical during seasons characterized by high dust levels or low precipitation. Anyone involved in PV projects can use CLEO AIÂ to plan seasonal maintenance, optimize cleaning budgets, and improve overall energy yield.