MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641041577 A) filed by Shanmugam V, Chennai, Tamil Nadu, on April 1, for 'mppt control of solar panel using deep learning.'

Inventor(s) include Shanmugam V; N. Manoj Kumar; Suresh S; Shan S; and Madeshwaran G L.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "Solar energy is an important source of renewable energy because it is clean and does not harm the environment. Solar energy is also available for free. However the amount of energy a solar panel can produce depends on how sunlight it gets. When the sun moves during the day a solar panel that stays in one place will not produce much energy.To get energy from the sun people use something called Maximum Power Point Tracking or MPPT for short. Maximum Power Point Tracking helps keep the solar panel working at its best. This project is about a system that helps a solar panel follow the sun using Maximum Power Point Tracking. The system uses a computer called Arduino Nano to control everything. It also uses sensors called LDR sensors to measure how much sunlight is coming from different directions. The system has a motor that moves the solar panel. The solar panel is on a track that lets it move back and forth. There are two LDR sensors, one on each side that compare how sunlight they get. This helps figure out which way the sun is shining the most. The computer then tells the motor to move the panel to where the sun is shining the most. The system also has a sensor that stops the solar panel from moving when it gets to the end of the track. This helps the solar panel get much sunlight as possible all the time. This makes it better than a panel that just stays in one place. The project shows that using a system like this can make solar energy work better and be more useful in life. Solar energy is an important source of renewable energy and using a tracking system, like this can help people use Solar energy more efficiently."

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