Innovation Owner
Miss JIDAPA CHINDAPRASERT
Student
Details
This research introduces an IoT and machine learning-based monitoring system for residential solar panels. It predicts current and voltage output to determine the optimal cleaning schedule based on dust accumulation.
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
To develop a maintenance system for residential solar panels and analyze the relationship between dust levels, weather conditions, and power output.
To develop a maintenance system for residential solar panels and analyze the relationship between dust levels, weather conditions, and power output.