Work

Advanced Optimization of PV Panel Cleaning Robot Based on Machine Learning Algorithms

Year: 2024

Type: article

Abstract: Abstract-This study introduces a robotic system designed to maintain photovoltaic (PV) panel efficiency by removing dust and debris that reduce energy output.The robot uses sensors and actuators to clean panels and adjusts its actions based on real-time environmental data.Engineered for efficiency and energy conservation, it includes cleaning brushes and movement modules.Machine learning techniques-convolutional neural networks (CNNs) for detecting dust and reinforcement learning (RL) for optimizing movement pathsenhance the robot's adaptability.These algorithms enable it to balance dust removal effectiveness, energy use, and time efficiency, optimizing its cleaning strategy for sustainable PV panel maintenance.

Source: International Journal of Engineering Works

DOI: 10.34259/ijew.24.1111203209

Authors: Shah Muhammad Adnan, Xu Wensheng, Muhammad Tahir Zaman, Muhammad Aurangzeb

Institutions: Nanjing Normal University, Southeast University

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4404614449

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