MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541126583 A) filed by Vardhaman College Of Engineering, Ranga Reddy, Telangana, on Dec. 14, 2025, for 'deep learning-based power quality monitoring system.'
Inventor(s) include Mr. Bijaya Kumar Sethi; Mr. Naveedkumarreddy K; Ms. Radhika Meegada; Dr. Nagireddy Hanuman; Mr. Sankala Sowjanya; and Ms. Chalamani Bhavana.
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: "Deep Learning-Based Power Quality Monitoring System is the proposed invention. The proposed invention relates to a Deep Learning-Based Power Quality Monitoring System designed to provide accurate, real-time detection, classification, and prediction of power quality disturbances in modern electrical networks. The system integrates high-resolution sensing devices with an intelligent preprocessing unit that performs signal conditioning, segmentation, and time-frequency transformation. A deep learning engine employing convolutional neural networks automatically extracts complex features from voltage and current waveforms to identify events such as sags, swells, harmonics, transients, and interruptions, including overlapping or subtle disturbances that traditional methods often miss. An anomaly detection component further predicts emerging faults and abnormal grid behavior using unsupervised or predictive models. The processed results are displayed on a cloud-enabled dashboard that supports visualization, remote monitoring, event logging, and integration with existing grid management systems. By eliminating the need for manual feature engineering and enhancing analytical accuracy, the proposed system improves reliability, operational efficiency, and situational awareness in smart grid and power distribution environments."
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