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Showing posts with the label pretrained

Enhancing Solar Tracking Using Tensorflow and Machine Learning

Abstract: A solar tracking system is a device or mechanism designed to orient solar panels, solar collectors, or other solar energy harvesting equipment so that they continuously face the sun as it moves across the sky. The primary purpose of a solar tracking system is to maximize the efficiency and energy output of solar power generation systems by ensuring that they receive the maximum amount of sunlight throughout the day. There are two main types of solar tracking systems: 1. Single-Axis Tracking: These systems track the sun's movement along one axis, typically either the east-west axis (horizontal tracking) or the north-south axis (vertical tracking). Single-axis trackers adjust the tilt angle of solar panels or collectors to follow the sun's path from sunrise to sunset. Horizontal single-axis trackers are more common and cost-effective for residential and commercial installations. 2. Dual-Axis Tracking: Dual-axis tracking systems are more complex and can track the sun...