MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202631080078 A) filed by Techno College Of Engineering Agartala on June 29, 2026, for An Ai-Enabled Adaptive Institutional Electrical Load Forecasting And Dynamic Energy Management System For Smart Campus Microgrids.
Inventors include Anindita Deb; Arjit Chanda; Anwesha Debnath; Sanchita Biswas; Shreya Nag; Ajoy Biswas; and Abir Chakraborty.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present invention relates to an AI-enabled adaptive electrical load forecasting and dynamic energy management system configured for intelligent prediction and autonomous optimization of electrical distribution infrastructures. The system comprises distributed sensing devices, edge processing infrastructure, hybrid deep learning forecasting architectures, Bayesian optimization modules, adaptive electrical controllers, and communication interfaces configured to perform real-time predictive load forecasting and intelligent power distribution management. The forecasting engine utilizes recurrent neural network architectures including Long Short- Term Memory networks, Gated Recurrent Unit networks, Bidirectional recurrent neural networks, Transformer architectures, and combinations thereof. The system autonomously performs predictive feeder switching, dynamic load balancing, battery scheduling, renewable energy coordination, peak shaving, anomaly detection, and adaptive infrastructure stabilization based on forecasted electrical demand patterns. The invention improves forecasting accuracy, electrical stability, operational efficiency, power quality, and smart-grid performance while reducing energy wastage and operational costs. Fig. 1
Disclaimer: Curated by HT Syndication.
