MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202511005124 A) filed by Lovely Professional University on January 22, 2025, for Hybrid Deep Learning And Game Theory System For Power Tracking In Wind Turbine Networks.
Inventors include Javeddhillon; and Rosepreet Kaur Bhogal.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention relates to a hybrid deep learning and game theory system designed for power tracking in wind turbine networks. The system comprises a plurality of wind turbines, each equipped with sensors to capture real-time data on wind speed, direction, and environmental conditions. A deep learning module, incorporating Long Short-term Memory (LSTM) networks and Convolutional Neural Networks (CNNs), processes this sensor data to predict wind conditions. The system further includes a game-theoretic framework that treats each wind turbine as a player in a strategic game, optimizing operational strategies by considering interactions between neighboring turbines. A control system for each wind turbine adjusts the pitch angle, yaw angle, and rotational speed of turbine blades based on inputs from the deep learning module and game-theoretic framework. The distributed control architecture enables each wind turbine to make decisions at a local level, enhancing coordination and minimizing wake effects. Dated this 28th Day of Dec, 2024 Dr. Monica Gulati Registrar Lovely Professional University
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