MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621067086 A) filed by Lakshmi Narain College Of Technology on May 28, 2026, for An Agentic Ai-Based Autonomous Energy Trading And Grid Interaction System.
Inventors include Dr. Syed Uvaid Ullah; Dr. Sujeet Kumar Soni; Shriyansh Jain; Dr. Santosh Kumar Vishwakarma; Sarvesh Pratap Singh; Jyoti Chouksey; and Manvendra Singh Kaurav.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: ABSTRACT An Agentic AI-Based Autonomous Energy Trading and Grid Interaction System The present disclosure relates to an Agentic AI-based autonomous energy trading and grid interaction system designed to intelligently manage decentralized energy generation, distribution, trading, and consumption within smart grid environments. The proposed system integrates autonomous artificial intelligence agents, IoT-enabled sensing devices, smart metering infrastructure, blockchain-assisted transaction validation, predictive analytics engines, and cloud-edge computing frameworks for enabling real-time energy monitoring and adaptive decision-making. The system continuously collects operational data from renewable energy sources, battery storage systems, industrial infrastructures, residential energy networks, and utility grids to support intelligent energy coordination activities. The autonomous AI engine utilizes machine learning, reinforcement learning, and predictive optimization algorithms to perform energy demand forecasting, dynamic pricing management, peer-to-peer energy trading, load balancing, and renewable energy scheduling without continuous human intervention. The blockchain framework secures decentralized energy exchange transactions by providing transparent, tamper-resistant, and authenticated transaction validation mechanisms. Additionally, the smart grid interaction module autonomously coordinates energy redistribution, voltage stabilization, and demand-response operations to improve grid reliability and operational efficiency under varying environmental and market conditions. The proposed invention minimizes energy wastage, enhances renewable energy utilization, reduces operational costs, and improves cybersecurity protection within decentralized energy ecosystems. The integration of edge computing enables low-latency local decision-making, while cloud computing supports large-scale analytical processing and historical data management. The invention is highly suitable for smart cities, industrial energy infrastructures, renewable energy management systems, electric vehicle charging networks, and next-generation intelligent power distribution ecosystems.
Disclaimer: Curated by HT Syndication.
