MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048337 A) filed by SR University, Warangal, Telangana, on April 16, for 'a physics-informed deep neural network system for solar radiation prediction incorporating atmospheric and astronomical constraints.'
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 physics-informed deep neural network system for solar radiation prediction incorporating atmospheric and astronomical constraints. The system integrates environmental data with physical laws to enhance prediction accuracy and consistency. A physics-based loss function ensures adherence to scientific principles, while deep learning enables the extraction of complex patterns. The proposed system improves scalability, robustness, and real-time forecasting capabilities, making it suitable for renewable energy management and smart grid applications."
Disclaimer: Curated by HT Syndication.
