Satellites track crop-burning events in Punjab/Haryana. Robots clean proactively to remove ash, boosting efficiency by 12–15%.

Convolutional Neural Networks (CNNs) for dust prediction and Reinforcement Learning (RL) for adaptive scheduling. Trained on 5+ years of Indian weather data.

A 100 MW plant regains 15–20% efficiency, saving ₹1.8–2.4 crore/year (at ₹3/kWh). In Karnataka, this funded a ₹50 lakh CSR water project.

Extending panel lifespan by 3–5 years reduces replacements. A 500 MW farm avoids 1,500 tons of e-waste over 20 years.

Data is secured via AES-256 encryption and ISO 27001-certified protocols. Regular audits ensure compliance, as seen in client’s’s 2023 security review.