AI-Driven Tilt Angle for Solar Panel Optimization with Real-Time Hardware Control

This paper presents an AI-based methodology for optimizing the tilt angle of solar panels using real-time environmental data. By employing a combination of sensor inputs (light intensity, temperature, voltage, and current), the system dynamically adjusts the tilt angle through a stepper motor controlled through hardware. The AI algorithm predicts the optimal angle by analysing historical and real-time sunlight patterns, improving efficiency over fixed or manual tilt systems. Experimental prototype implementation demonstrates that the AI-driven system significantly enhances power output, provides real-time monitoring of voltage and current, and adapts to varying sunlight conditions. The integration of AI with hardware ensures autonomous operation, making it suitable for residential, commercial, and industrial solar installations.