Intellectual Property India Publishes Patent Application for 'A System And Method For Dynamic Graph-Based Predictive Control Of Resource Allocation And Utilization In Campus Environments' Filed by Parul University (Parul Institute of Engineering And Technology)

MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202621010271 A) filed by Parul University (Parul Institute of Engineering And Technology), Vadodara, Gujarat, on Jan. 31, for 'a system and method for dynamic graph-based predictive control of resource allocation and utilization in campus environments.'

Inventor(s) include Dr. Sanjay Agal; and Ms. Krishna Raulji.

The application for the patent was published on March 13, under issue no. 11/2026.

According to the abstract released by the Intellectual Property India: "The invention relates to a dynamic graph-based predictive control system for optimizing resource allocation in campus environments. The system features a data acquisition and integration module (1) for collecting real-time and historical sensor data, a graph modeling layer (2) that represents campus infrastructure elements as nodes interconnected by edges with an adaptive adjacency matrix, and a predictive analytics module (3) utilizing a graph neural network in conjunction with a temporal convolutional network to forecast energy, water, and occupancy demands. Control signals generated by a control optimization module (4) are transmitted to actuator systems managing subsystems such as HVAC and water distribution, while a hybrid edge-cloud architecture (5) ensures low latency and robust centralized processing. The invention further encompasses a sustainability engine and decision dashboard for monitoring performance indicators in real time."

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