Yes. TAYPRO’s robots are engineered for deserts like Rajasthan, with air-based cleaning to handle abrasive sand, heat-resistant materials (up to 55°C), and AI that schedules post-sandstorm cleanings. A 150 MW plant in Jaisalmer reported 18% higher efficiency after deployment.

Robots clean 1–2 acres/hour, depending on soil levels. A 200 MW plant (500 acres) is cleaned in 10–15 days cyclically.

Delays cause irreversible efficiency loss (2–3%/year) and revenue drops. A 100 MW plant loses ₹3–5 lakh/month, totaling ₹3.6–6 crore/year.

TAYPRO’s AI models analyze satellite imagery, historical weather data, and on-site IoT sensor inputs (wind speed, humidity, PM2.5 levels) to forecast dust storms 6–12 hours in advance. For example, in Rajasthan, the system detects wind gusts >35 km/h as a precursor to sandstorms, triggering preemptive cleaning to minimize post-storm residue. Accuracy exceeds 90%, as validated in Gujarat’s 2023 cyclone season.