MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541121600 A) filed by New Prince Shri Bhavani College Of Engineering And Technology; Yuvasree P; Kirankumar S; Lakshmi B; Dr. T. Saravanan; and Dr. S. Senthil Kumar, Chennai, Tamil Nadu, on Dec. 4, 2025, for 'harnessing machine learning techniques for accurate of solar power generation and radiation consumpt.'
Inventor(s) include Yuvasree P; Kirankumar S; Lakshmi B; Dr. T. Saravanan; and Dr. S. Senthil Kumar.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The efficient integration of solar energy into the power grid requires accurate regression of solar power generation and radiation levels. This work explores the development of "Solar Intelligence" - a system utilizing machine learning-based predictive models.- These models will be trained on a multitude of data sources, including historical solar radiation measurements, weather forecasts, and environmental factors. By analysing these complex relationships, Solar Intelligence aims to predict future solar power generation and radiation with high accuracy. This improved forecasting capability will empower grid operators to optimize energy production, integrate renewable sources seamlessly, and enhance overall grid stability. Furthermore, this "Solar Intelligence" system has the potential to revolutionize solar energy management for utilities and individual consumers, enabling informed decision-making and maximizing the utilization of this clean and sustainable energy I source."
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