Optimizing Solar Power Generation with AI-Enhanced Tracking Systems

Abstract

Solar power is a clean and green source of energy that is an important part of sustainable energy options. Making solar cells as efficient as possible is important for making them more profitable. This paper discussed about a study that looks at how artificial intelligence (AI) can be used with solar panel tracking systems to make them more efficient at making solar power. Traditional methods for watching solar panels use set formulas to change the angles of the panels based on where the sun is. But because weather and shade can change, these devices might not always make the best use of the energy they produce. AI-based tracking systems are flexible and dynamic because they constantly look at the surroundings and change the panel positions in real time. AI techniques, like machine learning and computer vision, are combined with sensors and motors in the suggested system to track where the sun is and change the directions of the panels accordingly. The AI model learns from both past data and real-time inputs to figure out where the sun will be and what the best panel angles are for making the most energy. Using AI to improve tracking systems can lead to more efficient energy production, lower upkeep costs, and more reliable systems. The system's ability to adapt to changing weather conditions means that it works at its best all day and all year. It is possible that adding AI to solar panel tracking systems could make solar power creation much more efficient and effective. For a more safe energy future, future study could focus on making AI programs even better, making the system more scalable, and looking into how it can work with other green energy technologies.