AI and Robotics: Revolutionizing Solar Energy
Abstract
As the global community intensifies efforts to address climate change, solar energy emerges as a vital component of the transition to sustainable energy systems. Despite its promise as a clean and renewable alternative to fossil fuels, the full potential of solar power remains constrained without the integration of advanced technologies such as AI and robotics. These innovations are increasingly instrumental in enhancing the efficiency, reliability, and scalability of solar energy systems. This study examines the role of AI and robotic systems across various applications, including accurate energy forecasting, performance optimization, and automated maintenance, in accelerating the deployment of solar technologies. By analyzing key implementations and assessing their environmental, economic, and social impacts, the study highlights the transformative potential of AI in advancing a more sustainable energy future.
Keywords
artificial intelligence, robotics, solar PV, forecasting, fault detection, optimization