Master Soiling Risk with CLEO AI: Predict, Plan, and Prevail

Solar energy operators face a trifecta of challenges—dust storms that coat panels in dirt, prolonged droughts that limit natural cleaning by rain, and seasonal events like harvests that kick up clouds of agricultural dust. 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.

Annual Soiling Profile Generation

CLEO runs an TMY simulation tailored to each site, producing a timeline of expected soiling rates and cumulative soiling loss.

• Risk identification: Peaks in the TMY highlight high‑risk periods for soiling, guiding operators to schedule cleanings when they matter most—avoiding both over‑ and under‑maintenance.

• Resource allocation: By visualizing soiling accumulation over the year, teams can allocate labor and water resources more effectively, ensuring long‑term performance without unnecessary expense.

Simulated Soiling Loss TMY in CLEO portal.

Forecast Updates via Soiling TMY

To reflect real‑world conditions, CLEO blends site‑specific data from nearby ARES stations with a three‑year regional weather average, yielding a Soiling Typical Meteorological Year (TMY).

• Climatic pattern integration: Extended dry spells, pollen seasons, or wildfire smoke events are captured, enabling proactive adjustments to cleaning cadence.

• Dynamic strategy: As new data arrive, CLEO’s forecasts update—operators stay ahead of emerging trends rather than reacting to performance dips.

Optimized Recommendations for Solar Operators Using CLEO

1. Integrate CLEO into Preventive Maintenance

   • Use the Soiling TMY to schedule cleanings precisely when forecasts predict high accumulation.

   • Avoid low‑soiling periods to reduce unnecessary labor and conserve water.

2. Align Forecasts with Budget Cycles

   • Incorporate CLEO insights in monthly and quarterly O&M reviews.

   • Prioritize high‑value sites facing peak soiling to protect revenue streams.

3. Benchmark Across Multiple Assets

   • Compare CLEO projections regionally to identify systemic soiling patterns.

   • Negotiate long‑term cleaning contracts based on soiling TMY's.

4. Communicate Data‑Driven Decisions

   • Present CLEO forecasts in stakeholder meetings to justify schedule changes or budget reallocations.

Ready to take control of your O&M costs?

Book your personalized CLEO AI demo now and see how our predictive soiling forecasts can transform your maintenance strategy. Don’t wait—start your free trial today and join the growing number of solar operators who are staying one step ahead of dust, drought, and harvest season.