MUMBAI, India, Sept. 12 -- Intellectual Property India has published a patent application (202411012845 A) filed by Bennett University, Greater Noida, Uttar Pradesh, on Feb. 22, 2024, for 'machine learning based wind mill power conservation.'
Inventor(s) include Prof. Arpit Bhardwaj; and Dr. Jagendra Singh.
The application for the patent was published on Sept. 12, under issue no. 37/2025.
According to the abstract released by the Intellectual Property India: "Machine Learning based Wind Mill Power Conservation Abstract The wind mill system for power conservation utilizes machine learning to optimize energy generation. The system consists of a wind mill, a sensor array, a central processing unit (CPU), a machine learning module, a control module, and a data storage unit. The sensor array measures wind speed, direction, and other environmental factors, which are processed by the CPU. The machine learning module, trained with historical and real-time data, predicts and optimizes the wind mill's operations for power conservation. The control module adjusts the wind mill's operations based on the predictions from the machine learning module. Environmental data, historical and real-time data, and the outputs from the machine learning module are stored in the data storage unit. The machine learning module can include a neural network trained to predict wind patterns and optimize the wind mill's operations. The method involves measuring environmental factors, processing the data, predicting and optimizing wind mill operations using machine learning, adjusting operations based on predictions, and storing relevant data. This approach improves power conservation and efficiency in wind mills, enhancing renewable energy generation."
Disclaimer: Curated by HT Syndication.
