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Solar Panel Dust Monitoring System

Abstract

The current residential solar panels lack an adequate monitoring system, which hinders their optimal utilization. This research aims to design an Internet of Things (IoT) monitoring system and employ machine learning techniques to predict the current and voltage generated by solar panels. Experimental studies have revealed a correlation between dust accumulation and the current output of solar panels. The proposed system facilitates the prediction of the optimal time for cleaning solar panels.

Objective

ประเทศไทยนั้นเป็นประเทศในเขตร้อนที่เหมาะสมต่อการติดตั้งโซลาร์เซลล์เป็นอย่างมาก แต่เนื่องด้วยปริมาณฝุ่นเพิ่มขึ้นในทุกๆ ปี ซึ่งปริมาณฝุ่นนี้มีผลกระทบต่อแผงโซลาร์เซลล์ จึงมีแนวคิดในการพัฒนาระบบติดตามดูแลแผงสำหรับครัวเรือน ที่โดยส่วนใหญ่ไม่ได้มีการดูแลอย่างเหมาะสม

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