APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE DESIGN AND OPERATION OF FLOATING SOLAR POWER STATIONS

Shurkalov Petr Sergeevich, Doroshin Alexander Nikolaevich, Ivanov Nikita Aleksandrovich, Pereverzev Danila Vadimovich, Kabanov Valery Alekseevich

This article explores current approaches and prospects for the utilization of artificial intelligence (AI) in the field of solar power generation, specifically focusing on floating solar power stations (FSPS). An analytical review is conducted, based on scientific articles, documents, and legislative acts, covering key technological and operational aspects of the stations, laying the foundation for understanding the necessity of AI integration. Methods and technologies aimed at enhancing efficiency and optimizing the operation of FSPS are examined. The results of AI application on the stations are presented, showcasing their practical value. The authors contribute to the advancement of solar energy by providing a comprehensive overview of technological trends and practical solutions for using AI in FSPS. This article is relevant for both the scientific community, with interests in solar generation systems, and practitioners who can highlight contemporary trends and innovations. The content is presented in a simple and accessible language, making it engaging for a broad audience interested in achievements in the field of renewable energy and AI.

Keywords:artificial intelligence (AI), machine learning, floating solar power stations (FSPS), solar power stations (SPS), design of floating solar power stations (DFSPS).