AI-Driven Hybrid Renewable Energy System: Single-Axis Solar Tracking Wind Turbine Innovation
1. Introduction The increasing demand for sustainable energy solutions has driven the development of hybrid renewable power systems that integrate multiple energy sources. Combining solar and wind technologies with artificial intelligence offers an innovative approach to maximize energy efficiency and reliability. This research introduces a conjectured hybrid power system that integrates AI-driven optimization with a single-axis solar tracking wind turbine, enabling improved energy harvesting and adaptive performance under changing environmental conditions. Such systems represent a promising pathway toward achieving carbon-neutral energy infrastructure and advancing smart grid technologies. 2. Hybrid Renewable Energy System Architecture Hybrid renewable systems integrate multiple renewable energy sources to overcome the limitations of single-source generation. This research explores the architecture of a hybrid system combining solar tracking technology and wind energy generatio...