MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048325 A) filed by Sr University, Warangal, Telangana, on April 16, for 'a self-supervised deep learning system for solar radiation prediction using unlabeled satellite and environmental data.'
Inventor(s) include B Naresh; and Dr. Amit Kumar Yadav.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a self-supervised deep learning system for solar radiation prediction using unlabeled satellite imagery and environmental data. The system employs advanced feature learning techniques to extract meaningful representations without relying on annotated datasets. A multi-modal fusion mechanism integrates spatial and temporal information to enhance prediction accuracy. The proposed framework improves scalability, robustness, and real-time forecasting capabilities, making it suitable for renewable energy management and smart grid applications."
Disclaimer: Curated by HT Syndication.
