Solar Panel Rotational Alignment & Yeild Boosting System -AI

Abstract

This paper presents SPRAYS — a unified, intelligent framework that combines dual-axis solar tracking, condition-based cleaning, and AI-driven monitoring to maximize photovoltaic energy capture and minimize maintenance. SPRAYS continuously aligns photovoltaic modules to the sun using real-time sensor feedback and adjusts orientation through a motorized dual-axis mechanism. An automated cleaning subsystem activates only when optical contamination (dust, bird droppings) is detected, conserving water and energy. A machine-learning module performs fault detection, energy-yield forecasting, and predictive maintenance scheduling. Prototype design choices, hardware/software architecture, control algorithms, and experimental results from a testbed are reported. Results show notable yield improvement and reduced efficiency loss from soiling compared to fixed installations.