MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621067905 A) filed by Rajesh Kumar Kharche; S. Vigneswari; Mr. Krishnarao Patwari; Dr. S Ravi Kumar; Balaji Sankar; Maneesha L L S; Dr. S. Kanimozhi; Dr. Rajeshwari S; Dr. P. Chandra Sekhar; Mokkala Kiran Moni; Dayananda Sagar Academy Of Technology And Management; and Priyadarshini S on May 30, 2026, for Cloud-Enabled Machine Learning Framework For Real-Time Prediction Of Energy Shortages And Economic Loss During Lockdown Conditions.
Inventors include Rajesh Kumar Kharche; S. Vigneswari; Mr. Krishnarao Patwari; Dr. S Ravi Kumar; Balaji Sankar; Maneesha L L S; Dr. S. Kanimozhi; Dr. Rajeshwari S; Dr. P. Chandra Sekhar; Mokkala Kiran Moni; and Priyadarshini S.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: The present invention discloses the development of the cloud-enabled machine learning framework for real-time prediction of energy shortages and economic loss during lockdown conditions will be useful in analyzing and forecasting the disruptions in energy supply, demand imbalances, and economic instability that occur in emergencies like pandemics or lockdown scenarios. The cloud-enabled framework makes use of cloud technology and IoT stream of data along with machine learning algorithms for processing live information obtained from sectors like industry, household, health, and transportation. Predictive analytics in this framework will help in evaluating the fluctuations in the usage of power, fuels, and operating stoppages to forecast the risk of energy shortage and resultant economic loss. This will allow governmental organizations and utilities to take preventive measures and reduce their economic impact. FIG.1
Disclaimer: Curated by HT Syndication.
