MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641092362 A) filed by St. Josephs College Of Engineering; Dr. T. V. Narmadha; Shreelekha K; Sowndharya M; and Dr. C. Ramadevi on July 30, 2026, for Machine Learning-Based Weather-Aware Smart Grid For Intelligent Power Management.
Inventors include Dr. T. V. Narmadha; Shreelekha K; Sowndharya M; and Dr. C. Ramadevi.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: This work introduces a weather-dependent smart grid system that uses machine learning techniques for efficient energy management. The proposed system aims to address critical problems related to grid instability, interruptions in the power supply, and fluctuations in renewable energy sources. This system constantly monitors different grid factors, such as voltage level, frequency, and load requirements. It also considers weather conditions and the amount of solar energy available for use. A machine learning model was adopted to predict the possibility of grid failure and the availability of solar energy. The system uses these predictions to choose the best power source from the grid, solar, or battery.
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