A solar tracker is a generic term used to describe a device that orients solar panel towards the sun. Solar trackers are employed to maximise the quantity of energy generated from a fixed amount of installed photovoltaic (PV) cells. This paper presents a solar tracking system enhanced with an artificial neural network to maximise power output. The system consists of a solar panel always facing the direction of the sun with the aid of a solar tracker mechanism controlled by a servo-motor and Light Dependent Resistor. The collected solar power data was used to train a neural network for irradiance, power and tilt prediction. The neural enhanced solar tracking system was able to predict the output power with satisfactory accuracy. Keyword: Solar power, tracking mechanism, servo-motor, photovoltaic panel, renewable energy, neural network.
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL
₹10000 (INR)
NON IEEE -2021