MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641090855 A) filed by Easwari Engineering College; and Srm Institute Of Science And Technology, Ramapuram Campus on July 27, 2026, for Smart Grid Fault Estimation Using Machine Learning.
Inventors include Venkatakrishnan J; Dr. John De Britto C; and Dr. S. Kavitha.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: ABSTRACT The growing effort of current smart grids has molded notable activities in fault detection, preparation, and organization makeover. Outdated fault diagnosis proceeds regularly struggle from behind reply times and rapid accurateness under dynamic working states. This conclusion approves a Machine Learning (ML) based Smart Grid Fault Prediction System that frequently shows electric confines such as voltage, current, frequency, power factor, harmonics, and load disparities done supper sensors and smart meters. The composed data are easy to cloud-based analytics opinion where ML algorithms study earliest and real-time data to envisage potential faults previous their rate. The proposed scheme facilities logging and predictive models to identify abnormalities, estimation fault locations, and produce primary frightening signals to grid operatives. The society significantly enlarges grid reliability, lessens interruption, lessens care costs, and growths power quality. Unexperienced examination starts fault calculating accurateness surpassing 95% under changeable grid settings. TOTAL NO OF WORDS IN ABSTRACT : 143
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