MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048823 A) filed by S Rajeshkannan; Akash RS; and Harish M, Chennai, Tamil Nadu, on April 16, for 'ml-based electric vehicle charging demand forecasting and peak load mitigation for smart grid applications.'
Inventor(s) include S Rajeshkannan; Akash RS; and Harish M.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The rapid growth of electric vehicles (EVs) has increased the need for efficient and intelligent charging infrastructure. Traditional power grids often face difficulties in managing unpredictable EV charging demand, which can result in power imbalance, grid congestion, and inefficient energy distribution. To address this challenge, this work proposes an AI-based Electric Vehicle Charging Demand Forecasting and Smart Grid Management System that predicts future EV charging requirements and supports efficient energy allocation. The proposed system utilizes deep learning models such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) to analyze historical EV charging data and identify patterns in charging behavior. The framework includes stages such as data collection, preprocessing, feature extraction, and model training to generate accurate demand forecasts. These predictions are further used by a smart grid management module to assist in optimizing energy distribution across charging stations. Experimental results demonstrate that the proposed approach provides reliable forecasting performance and improves charging infrastructure planning compared to conventional methods providing a scalable and intelligent solution for managing EV charging demand and supporting the development of smart transportation and energy management systems."
Disclaimer: Curated by HT Syndication.
