MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043732 A) filed by Sr University, Warangal, Telangana, on April 6, for 'artificial intelligence framework-based short-term load forecasting system for smart power grids.'
Inventor(s) include Dr. Prateek Nigam; and Durgesh Nandan.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "This invention presents an advanced Artificial Intelligence (AI) framework designed for accurate short-term load forecasting in smart power grids. The system integrates machine learning and deep learning techniques to analyze historical consumption patterns, real-time data streams, and external influencing factors such as weather conditions, seasonal variations, and user behavior. By employing adaptive algorithms, the framework continuously learns and improves prediction accuracy over time. The proposed system utilizes a hybrid modeling approach that combines statistical methods with neural networks to capture both linear and nonlinear relationships in energy demand. It incorporates data preprocessing modules for noise reduction, feature extraction, and normalization to enhance model performance. Additionally, the framework supports scalable deployment, enabling seamless integration with existing smart grid infrastructures. The forecasting results generated by the system facilitate efficient energy management, demand-response planning, and optimal resource allocation. This leads to reduced operational costs, improved grid stability, and enhanced reliability of power supply. Furthermore, the system enables utilities to anticipate peak loads and mitigate potential disruptions. Overall, the invention provides a robust, intelligent, and adaptive solution for modern energy systems, addressing the growing need for precise and real-time load forecasting in dynamic power environments."
Disclaimer: Curated by HT Syndication.
