MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641061659 A) filed by Cvr College Of Engineering, Hyderabad, Telangana, on May 15, for 'a machine learning-based system and method for detecting unauthorized electricity consumption using adaptive behavioral pattern analysis.'
Inventor(s) include Neella Swapna.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a machine learning based system and method for detecting unauthorized electricity consumption by using a series of machine learning modules to learn normal electricity consumption patterns for individual consumers and update the electricity consumption patterns over time, a series of modules to process electricity consumption data collected from smart meters, including a preprocessing module, a feature extraction module, and an adaptive behavioral learning module, an anomaly detection module computing a deviation-based anomaly score for the electricity consumption pattern is compared to the electricity consumption pattern predicted or learned by the machine learning modules, a decision engine used to classify a electricity consumption as a normal, suspicious, or unauthorized electricity consumption based on predefined and/or adaptive thresholds, and an alert generation module generating alerts for further investigation."
Disclaimer: Curated by HT Syndication.
